This document provides an overview of external sharing in Power BI using Azure Active Directory Business-to-Business (Azure B2B) collaboration. Azure B2B allows Power BI content to be securely distributed to guest users outside the organization while maintaining control over internal data. There are three main approaches for sharing - assigning Pro licenses manually, using guest's own licenses, or sharing to guests via Power BI Premium capacity. Azure B2B handles invitations, authentication, and governance policies to control external sharing. All guest actions are audited. Conditional access policies can also be enforced for guests.
Power BI Report Server Enterprise Architecture, Tools to Publish reports and ...
To improve the performance, sustainability, security and scalability of enterprise-grade Power BI implementations with constant velocity, we need to adhere best practices with sloid architecture.
In this session Vishal will go over Power BI Ecosystem with quick Example, Power BI report Server evolution from its inception till date with Architecture for Enterprise PBI RS and usage through various tool available to publish -SSDT SSRS, Power BI Desktop(Optimized Version), Report Builder and mobile report builder and various Best Practices for PBI Report Server.
Power BI: Business intelligence like never before!
Power BI is a tool that allows accounting and finance managers and professionals to have relevant information at the right time to make strategic decisions in a flexible, centralized, and secure way. Transform your business with predictive analytics, data visualization, and information in real-time, thanks to Power BI.
Presentation Agenda:
1. Introduction to Power BI
2. Why would your business need Power BI?
3. Power BI Architecture
4. Data Sanitization & Cleansing Capabilities
5. Analytical Insights
6. Generating Department Wise Reports & Visualizations
7. Latest & Upcoming Power BI features
8. Live Q&A
Explain about power BI Overview from Power BI Desktop, Power BI Service, Power BI Report Server and Power BI Mobile that consume all BI Data from Dataset and datamodel
Power BI is a business analytics service that allows users to connect to data, model and visualize data, and share insights. It includes the Power BI service, Power BI Desktop, and Power BI Premium. The Power BI service allows users to publish reports and dashboards to a cloud-based workspace for collaboration and sharing. Power BI Desktop is a free desktop application for building reports and data models. Power BI Premium provides dedicated cloud capacity for large-scale deployments and on-premises gateways.
The document introduces Power BI tools for self-service business intelligence including Excel add-ins like Power Query, PowerPivot, Power View, and Power Map. It also discusses Power BI for Office 365, the Power BI Preview, Power BI Designer, and the Power BI app. The presenter demonstrates these tools and provides resources for learning more.
Power BI Training | Getting Started with Power BI | Power BI Tutorial | Power...
This Edureka tutorial on "Getting started with Power BI" will provide you the fundamental knowledge of Power BI. Below are the topics covered in this tutorial:
1. What is Self Service Business Intelligence?
2. Why Power BI?
3. What is Power BI?
4. Demo on Power BI
Presented to The Ottawa IT Community Meetup Group (Ottawa SQL - PASS Chapter) on Thursday September 19
Powerful Self-Service BI in Excel 2013 - Data search and discovery with Power Query (formerly "Data Explorer"), analyzing and modeling with Power Pivot, visualizing and exploring with Power View and Power Map (formerly codename "GeoFlow")
The world of business intelligence and analytics has changed from one that IT was providing the information in an organisation to more self-service data analytics that the end user has the ability to access and consume the data from a platform such as a data warehouse, as well as being able to enhance their data analytics with other data sources. In addition, the users now can easily share content and collaborate with other users. This has enabled businesses to leverage from making better decisions in more agile way. However, giving the users a lot of freedom in accessing and sharing data without any governance can expose the businesses to serious security and privacy risks.
In this session, we discussed what governance means when it comes to Power BI and how to implement an organisation-wide governance framework for Power BI ecosystem, without preventing the business to naturally grow in its analytics capability a long with some real-world examples and good practices.
This document provides an introduction to Power BI, a business intelligence tool for data visualization. It discusses how Power BI helps organizations make more data-driven decisions by combining business analytics, data mining, visualization and infrastructure. Key features of Power BI include rich dashboards, report publishing, no constraints on memory or speed, and no need for technical support. Power BI consists of desktop, service and mobile app components and allows users to connect to data, model and format it, create visualizations, and publish reports.
Power bi (1)Power BI Online Training Hyderabad | power bi online training ben...
Power BI Desktop integrates proven Microsoft technologies the powerful Query engine, data modeling, and visualizations. All sorts of different data sources, then combine and shape them in ways that facilitate making interesting, in Power BI online Training.
Power BI for Big Data and the New Look of Big Data Solutions
New features in Power BI give it enterprise tools, but that does not mean it automatically creates an enterprise solution. In this talk we will cover these new features (composite models, aggregations tables, dataflow) as well as Azure Data Lake Store Gen2, and describe the use cases and products of an individual, departmental, and enterprise big data solution. We will also talk about why a data warehouse and cubes still should be part of an enterprise solution, and how a data lake should be organized.
This document provides an overview and agenda for a Power BI presentation. It discusses Power BI capabilities for end-to-end business intelligence including discovering, analyzing, visualizing and exploring data from Excel and the cloud. It also outlines Power BI features for the cloud like data search, refresh, mobile access and Q&A. The presentation concludes by discussing Power BI's next version including enhanced dashboards, mobile apps, APIs and hybrid scenarios.
Power BI is a business analytics service by Microsoft. It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.
This presentation will give you an overview of what Microsoft Power BI is. What are its features. Why it is an upcoming popular Data Visualization tool in the market. How to use it and comparison with other Visualization tools.
Slides for the Usergroup meeting for the Manchester Power BI User Group on June 27th, 2019.
Subject: Power BI for Developers about Power BI Embedded and Power BI Custom Visuals
This document provides an overview and instructions for attending a "Dashboard in a Day" workshop on Microsoft Power BI. It includes prerequisites for the workshop, such as having a computer that meets minimum system requirements and having a Power BI account. The agenda outlines the topics to be covered, including introductions, building reports and dashboards in Power BI Desktop and the Power BI service, and opportunities for questions. Resources are provided on connecting to the workshop wireless network and engaging with the broader Power BI community.
This document provides an overview and agenda for a one-day training on building dashboards in Power BI. It outlines prerequisites including required software and accounts. The training will take place both in the morning and afternoon, covering topics such as accessing and preparing data, data modeling, visualizations, publishing reports, and building and sharing dashboards. Hands-on labs are included for each major topic.
Power BI provides self-service business intelligence and analytics capabilities powered by artificial intelligence. It unifies self-service and enterprise BI by bringing together data from various sources and allowing users at all levels of an organization to access and analyze information. Power BI also leverages Azure services for advanced analytics capabilities like big data processing, machine learning and artificial intelligence. This enables organizations to gain deeper insights from their data at scale.
Create a single source of truth
The starting point for building a data-driven culture is establishing a single source of truth. We make this easy with Power BI, a modern BI cloud service that connects to all of your data, wherever it lives, in the cloud or on premises, Microsoft or non-Microsoft. It delivers insights to you in any way, anywhere, from mobile to web, as well as embedded in apps, both first party and third party. Office 365 further extends this with versions that allow you to quickly look at differences, auditing and roll back, allowing you to confidently manage the single version of truth.
Analyze & visualize data
The next step is to make it easy to analyze and explore data, then share it out seamlessly. Here we deliver the industry leading analyst tool with Excel, which allows you to ask questions at the pace of your business transformation, in a tool you use daily. Sometimes it's easier for us to spot trends and outliers when data is presented visually. Power BI makes visualization simple and easy. Sometimes we want both. Power BI integrates natively with Excel, so users can easily dive deeper into visualizations from Excel and vice-versa. Together with Visio, you can visualize complex process flows directly into Power BI.
Run your business in real time with live dashboards
All of the visualizations and dashboards you create in Power BI, Excel, and Visio can be programmed to update in real-time, so that you can react to opportunities and threats as soon as they appear.
Put insights at the center of teamwork
Lastly, with the growing importance of teamwork in the modern workplace it’s critical that teams can collaborate on data in real-time. Power BI and Excel both integrate natively with Teams and Office 365, making it easier to create consensus based on data.
Conclusion
All of these capabilities add up to better, faster decision-making – a 2017 study by Forrester found that with Microsoft 365 E5 employees make decisions in 18% less time – think about how much faster your business could move with decisions made in hours or days rather than weeks.
ทีมงาน MVPSkill ร่วมกับบริษัท ไมโครซอฟต์ (ประเทศไทย) จำกัดขอเชิญผู้สนใจเข้าร่วมงาน “Power Platform Series : App in a day in Action” งานที่จะมาพาผู้เข้าร่วมงานทุกท่านเดินทางสู่การพัฒนา Application ขึ้นใช้เองในองค์กรอย่างง่ายๆ โดยใช้ Power Platforms ที่มีประสิทธิภาพ และอำนวยความสะดวกให้ท่านเป็นอย่างมาก ท่านจะสามารถพัฒนา Application ขึ้นเองได้โดยเขียน Code เพียงไม่กี่บรรทัด (หรืออาจจะไม่ต้องเขียนเลยก็ได้)
This document provides an overview of the Power BI online service and its key capabilities for creating reports and dashboards, exploring data visually and with natural language queries, sharing insights with others, and accessing content on mobile devices. It also describes additional Power BI features for pinning various external data sources to dashboards, performing quick analyses, and setting up data alerts and security settings.
Microsoft Power BI is a cloud-based business analytics service. This document provides an overview of Power BI and its key capabilities. It discusses connecting to various data sources, creating reports and dashboards, exploring data using natural language queries, and sharing insights across an organization. The document also describes the Power BI online service experience and how to work with reports, dashboards, and collaborate with others.
Power BI Training (Data Analytics& Business Intelegence)
Microsoft Power BI is a cloud-based business analytics service. This document provides an overview of Power BI and its key capabilities. It discusses connecting to various data sources, creating reports and dashboards, exploring data using natural language queries, and sharing insights across an organization. The document also describes the Power BI online service experience and how to work with reports, dashboards, and collaborate with others.
Microsoft Power BI is a cloud-based business analytics service. This document provides an overview of Power BI and its key capabilities. It discusses connecting to various data sources, creating reports and dashboards, exploring data using natural language queries, and sharing insights across an organization. The document also describes the Power BI online service experience and how to work with reports, dashboards, and other features in the browser or mobile apps.
Microsoft Power BI is a cloud-based business analytics service. This document provides an overview of Power BI and its key capabilities. It discusses connecting to various data sources, creating reports and dashboards, exploring data using natural language queries, and sharing insights across an organization. The document also describes the Power BI online service experience and how to work with reports, dashboards, and other features in the browser or mobile apps.
Modern Business Intelligence - Design and Implementations
During the first two “waves” of business intelligence, IT professionals and business analysts were the keepers of BI. They made BI accessible and consumable for end users.
While this approach still applies to complex business intelligence needs, today there is a new “wave.” This third wave of BI makes BI available to every kind of user.
As customer strive to take advantage of the digital transformation that is occurring in virtually every industry, they need to re-evaluate how they engage with their customers/prospects, how they transform their products and operations, and how they empower and understand their employees.
In today’s world, doing each of these things is more and more reliant upon data…traditionally, everything you knew about your customers and prospects was available in your business application systems and in the heads of employees. You learned almost everything about your products BEFORE they left your warehouse. Employees used technology more to enter data than to learn from it.
In the data-driven world we live in today, leveraging intelligent insights from data across customers, products, and employees is critical to be able to stay competitive and keep up with or lead digital transformation in any industry. And this isn’t just a customer’s typical business application data – it’s also about augmenting the customer’s data with additional data (e.g. search, employee behavioral data, sentiment data, benchmark data, etc..) – and applying the right intelligence to drive meaningful insights.
Power BI On AIR - Melissa Coates: "What You Need to Know to Administer Power BI"
Session #1 - Melissa Coates: "What You Need to Know to Administer Power BI"
YouTube channel: https://www.youtube.com/channel/UCOAWiig6JH1i8MqcniEVbTg
LinkedIn: https://www.linkedin.com/groups/8933736/
Melissa Coates
Owner of Coates Data Strategies. Microsoft Data Platform MVP.
Data architect with a background in data warehousing and business intelligence. Her current professional focus is enterprise-level Power BI governance, deployment, security, and administration. As the owner of Coates Data Strategies, Melissa produces training and consults to help companies strengthen and sustain their data-driven initiatives. Melissa is a big supporter of the technical community, and has been a Microsoft Data Platform MVP since 2013.
Topic: "What You Need to Know to Administer Power BI".
The Power BI administrator is a very high privilege role. Some administration activities apply consistently for every organization, whereas others depend on how Power BI is being used for self-service and corporate business intelligence initiatives. Each organization's needs related to security, governance, auditing, and data management influence the scope of responsibilities for a Power BI administrator.
Power BI vs Tableau - An Overview from EPC Group.pptx
Power BI and Tableau are two dominating business intelligence technologies, and many enterprises use either of them. Both the tools collect, integrate, analyze, and present business data. They assist you in performing data analysis, data manipulation, and data visualization to extract sense from raw business data.
Businesses, learners, and practitioners often find it hard to decide which tool is best for them. We organized this webinar to discuss some significant differences between Power BI and Tableau and help you find the best BI tool suiting your requirements.
Key Points of Discussion:
-History of Power BI and Tableau
-Cost of Power BI and Tableau
-Performance and Functionality of -Power BI vs. Tableau
-User Interface of Power BI and Tableau
-Data Sources in Power BI and Tableau
Power BI: Introduction with a use case and solution
This PPT gives a brief introduction to the Power BI software. It gives the brief intro of the software with a use case of how Power BI is used in Heathrow Airport for ease of functions
This document provides an agenda for the Sydney Business Intelligence User Group meeting in November 2014. The meeting will feature a presentation titled "Power BI – Beyond the Basics" presented by Iman Eftekhari of Agile BI. The presentation will cover the main features and capabilities of Power BI using real-world examples and scenarios. It will also discuss best practices and tips for getting the most out of Power BI. The document lists several sponsors of the event, including software companies that provide tools for business intelligence.
Empowering you - Power BI, Power Platform & AI Builder
Slides for the "Microsoft Empowering You" webinar about Power BI, Power Apps, Power Automate & AI Builder by DevScope.
Explore how Power Platform & AI Builder can enrich your Power BI experience.
Watch the full session at https://youtu.be/IhwiESvFaxg
(English subtitles available)
What is the Best Data Visualization Tool: Power BI or Tableau?
Business Intelligence (BI) is a vital field of computer science that involves a range of processes and technologies aimed at gathering, storing, analyzing, and providing access to data to enhance business decision-making. Read more here!
General Presentation - DIAD and AIAD, Dashboard and Apps
General presentation by Vishal Pawar for DIAD and AIAD
Green House Data invites you and your team to a 3 day online Power BI and Power Apps Training with Vishal Pawar, Microsoft MVP who has 10+ years in Microsoft BI and the data stack.
Day 1: Power BI Dashboard in a Day
Day 2: Power Apps and Power Automate in a Day
Choctaw Nation - Power bi dashboard, report server report in Day
This document has two main sections:
• Power BI Desktop: This section highlights the features available in Power BI Desktop and walks the user through the process of bringing in data from the data source, modeling and creating visualizations.
• Power BI Service: This section highlights the features available in Power BI Service including the ability to publish the Power BI Desktop model to the web, creating and sharing dashboard and Q & A.
The document flow is in a table format. On the left panel are steps the user needs to follow and in the right panel are screenshots to provide a visual aid for the users. In the screenshots, sections are highlighted with red boxes to highlight the action/area user needs to focus on.
#History of #PowerBI
Introduction of #DigitalTransformation
Introduction of #PowerPlatform and how #PowerBI fits in.
Building Blocks of #PowerBI
Showed a #real-life scenario
Avail Power BI Consulting Services to Integrate Seamlessly
To know more about Power BI and other Microsoft’s power platforms, connect with our Power BI Consulting Services experts.
Source Url:- https://medium.com/@elenamia/avail-power-bi-consulting-services-to-integrate-seamlessly-e48d34fa4d44
Microsoft Fabric is the next version of Azure Data Factory, Azure Data Explorer, Azure Synapse Analytics, and Power BI. It brings all of these capabilities together into a single unified analytics platform that goes from the data lake to the business user in a SaaS-like environment. Therefore, the vision of Fabric is to be a one-stop shop for all the analytical needs for every enterprise and one platform for everyone from a citizen developer to a data engineer. Fabric will cover the complete spectrum of services including data movement, data lake, data engineering, data integration and data science, observational analytics, and business intelligence. With Fabric, there is no need to stitch together different services from multiple vendors. Instead, the customer enjoys end-to-end, highly integrated, single offering that is easy to understand, onboard, create and operate.
This is a hugely important new product from Microsoft and I will simplify your understanding of it via a presentation and demo.
Agenda:
What is Microsoft Fabric?
Workspaces and capacities
OneLake
Lakehouse
Data Warehouse
ADF
Power BI / DirectLake
Resources
So many buzzwords of late: Data Lakehouse, Data Mesh, and Data Fabric. What do all these terms mean and how do they compare to a modern data warehouse? In this session I’ll cover all of them in detail and compare the pros and cons of each. They all may sound great in theory, but I'll dig into the concerns you need to be aware of before taking the plunge. I’ll also include use cases so you can see what approach will work best for your big data needs. And I'll discuss Microsoft version of the data mesh.
So many buzzwords of late: Data Lakehouse, Data Mesh, and Data Fabric. What do all these terms mean and how do they compare to a data warehouse? In this session I’ll cover all of them in detail and compare the pros and cons of each. I’ll include use cases so you can see what approach will work best for your big data needs.
Data Warehousing Trends, Best Practices, and Future Outlook
Over the last decade, the 3Vs of data - Volume, Velocity & Variety has grown massively. The Big Data revolution has completely changed the way companies collect, analyze & store data. Advancements in cloud-based data warehousing technologies have empowered companies to fully leverage big data without heavy investments both in terms of time and resources. But, that doesn’t mean building and managing a cloud data warehouse isn’t accompanied by any challenges. From deciding on a service provider to the design architecture, deploying a data warehouse tailored to your business needs is a strenuous undertaking. Looking to deploy a data warehouse to scale your company’s data infrastructure or still on the fence? In this presentation you will gain insights into the current Data Warehousing trends, best practices, and future outlook. Learn how to build your data warehouse with the help of real-life use-cases and discussion on commonly faced challenges. In this session you will learn:
- Choosing the best solution - Data Lake vs. Data Warehouse vs. Data Mart
- Choosing the best Data Warehouse design methodologies: Data Vault vs. Kimball vs. Inmon
- Step by step approach to building an effective data warehouse architecture
- Common reasons for the failure of data warehouse implementations and how to avoid them
Azure Synapse Analytics is Azure SQL Data Warehouse evolved: a limitless analytics service, that brings together enterprise data warehousing and Big Data analytics into a single service. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources, at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate business intelligence and machine learning needs. This is a huge deck with lots of screenshots so you can see exactly how it works.
Azure Synapse Analytics is Azure SQL Data Warehouse evolved: a limitless analytics service, that brings together enterprise data warehousing and Big Data analytics into a single service. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources, at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate business intelligence and machine learning needs. This is a huge deck with lots of screenshots so you can see exactly how it works.
The data lake has become extremely popular, but there is still confusion on how it should be used. In this presentation I will cover common big data architectures that use the data lake, the characteristics and benefits of a data lake, and how it works in conjunction with a relational data warehouse. Then I’ll go into details on using Azure Data Lake Store Gen2 as your data lake, and various typical use cases of the data lake. As a bonus I’ll talk about how to organize a data lake and discuss the various products that can be used in a modern data warehouse.
Power BI has become a product with a ton of exciting features. This presentation will give an overview of some of them, including Power BI Desktop, Power BI service, what’s new, integration with other services, Power BI premium, and administration.
The breath and depth of Azure products that fall under the AI and ML umbrella can be difficult to follow. In this presentation I’ll first define exactly what AI, ML, and deep learning is, and then go over the various Microsoft AI and ML products and their use cases.
This document provides an overview and summary of the author's background and expertise. It states that the author has over 30 years of experience in IT working on many BI and data warehouse projects. It also lists that the author has experience as a developer, DBA, architect, and consultant. It provides certifications held and publications authored as well as noting previous recognition as an SQL Server MVP.
Embarking on building a modern data warehouse in the cloud can be an overwhelming experience due to the sheer number of products that can be used, especially when the use cases for many products overlap others. In this talk I will cover the use cases of many of the Microsoft products that you can use when building a modern data warehouse, broken down into four areas: ingest, store, prep, and model & serve. It’s a complicated story that I will try to simplify, giving blunt opinions of when to use what products and the pros/cons of each.
AI for an intelligent cloud and intelligent edge: Discover, deploy, and manag...
Discover, manage, deploy, monitor – rinse and repeat. In this session we show how Azure Machine Learning can be used to create the right AI model for your challenge and then easily customize it using your development tools while relying on Azure ML to optimize them to run in hardware accelerated environments for the cloud and the edge using FPGAs and Neural Network accelerators. We then show you how to deploy the model to highly scalable web services and nimble edge applications that Azure can manage and monitor for you. Finally, we illustrate how you can leverage the model telemetry to retrain and improve your content.
In three years I went from a complete unknown to a popular blogger, speaker at PASS Summit, a SQL Server MVP, and then joined Microsoft. Along the way I saw my yearly income triple. Is it because I know some secret? Is it because I am a genius? No! It is just about laying out your career path, setting goals, and doing the work.
I'll cover tips I learned over my career on everything from interviewing to building your personal brand. I'll discuss perm positions, consulting, contracting, working for Microsoft or partners, hot fields, in-demand skills, social media, networking, presenting, blogging, salary negotiating, dealing with recruiters, certifications, speaking at major conferences, resume tips, and keys to a high-paying career.
Your first step to enhancing your career will be to attend this session! Let me be your career coach!
With new technologies such as Hive LLAP or Spark SQL, do I still need a data warehouse or can I just put everything in a data lake and report off of that? No! In the presentation I’ll discuss why you still need a relational data warehouse and how to use a data lake and a RDBMS data warehouse to get the best of both worlds. I will go into detail on the characteristics of a data lake and its benefits and why you still need data governance tasks in a data lake. I’ll also discuss using Hadoop as the data lake, data virtualization, and the need for OLAP in a big data solution. And I’ll put it all together by showing common big data architectures.
Differentiate Big Data vs Data Warehouse use cases for a cloud solution
It can be quite challenging keeping up with the frequent updates to the Microsoft products and understanding all their use cases and how all the products fit together. In this session we will differentiate the use cases for each of the Microsoft services, explaining and demonstrating what is good and what isn't, in order for you to position, design and deliver the proper adoption use cases for each with your customers. We will cover a wide range of products such as Databricks, SQL Data Warehouse, HDInsight, Azure Data Lake Analytics, Azure Data Lake Store, Blob storage, and AAS as well as high-level concepts such as when to use a data lake. We will also review the most common reference architectures (“patterns”) witnessed in customer adoption.
Databricks is a Software-as-a-Service-like experience (or Spark-as-a-service) that is a tool for curating and processing massive amounts of data and developing, training and deploying models on that data, and managing the whole workflow process throughout the project. It is for those who are comfortable with Apache Spark as it is 100% based on Spark and is extensible with support for Scala, Java, R, and Python alongside Spark SQL, GraphX, Streaming and Machine Learning Library (Mllib). It has built-in integration with many data sources, has a workflow scheduler, allows for real-time workspace collaboration, and has performance improvements over traditional Apache Spark.
Azure SQL Database Managed Instance is a new flavor of Azure SQL Database that is a game changer. It offers near-complete SQL Server compatibility and network isolation to easily lift and shift databases to Azure (you can literally backup an on-premise database and restore it into a Azure SQL Database Managed Instance). Think of it as an enhancement to Azure SQL Database that is built on the same PaaS infrastructure and maintains all it's features (i.e. active geo-replication, high availability, automatic backups, database advisor, threat detection, intelligent insights, vulnerability assessment, etc) but adds support for databases up to 35TB, VNET, SQL Agent, cross-database querying, replication, etc. So, you can migrate your databases from on-prem to Azure with very little migration effort which is a big improvement from the current Singleton or Elastic Pool flavors which can require substantial changes.
This document provides an overview of a speaker and their upcoming presentation on Microsoft's data platform. The speaker is a 30-year IT veteran who has worked in various roles including BI architect, developer, and consultant. Their presentation will cover collecting and managing data, transforming and analyzing data, and visualizing and making decisions from data. It will also discuss Microsoft's various product offerings for data warehousing and big data solutions.
Have you been thinking about presenting at a user group? Are you being asked to present at your work? Is learning to present one of the keys to advancing your career? Or do you just think it would be fun to present but you are too nervous to try it? Well take the first step to becoming a presenter by attending this session and I will guide you through the process of learning to present and becoming good at it. It’s easier than you think! I am an introvert and was deathly afraid to speak in public. Now I love to present and it’s actually my main function in my job at Microsoft. I’ll share with you journey that lead me to speak at major conferences and the skills I learned along the way to become a good presenter and to get rid of the fear. You can do it!
These fighter aircraft have uses outside of traditional combat situations. They are essential in defending India's territorial integrity, averting dangers, and delivering aid to those in need during natural calamities. Additionally, the IAF improves its interoperability and fortifies international military alliances by working together and conducting joint exercises with other air forces.
Blockchain technology is transforming industries and reshaping the way we conduct business, manage data, and secure transactions. Whether you're new to blockchain or looking to deepen your knowledge, our guidebook, "Blockchain for Dummies", is your ultimate resource.
The DealBook is our annual overview of the Ukrainian tech investment industry. This edition comprehensively covers the full year 2023 and the first deals of 2024.
We are honored to launch and host this event for our UiPath Polish Community, with the help of our partners - Proservartner!
We certainly hope we have managed to spike your interest in the subjects to be presented and the incredible networking opportunities at hand, too!
Check out our proposed agenda below 👇👇
08:30 ☕ Welcome coffee (30')
09:00 Opening note/ Intro to UiPath Community (10')
Cristina Vidu, Global Manager, Marketing Community @UiPath
Dawid Kot, Digital Transformation Lead @Proservartner
09:10 Cloud migration - Proservartner & DOVISTA case study (30')
Marcin Drozdowski, Automation CoE Manager @DOVISTA
Pawel Kamiński, RPA developer @DOVISTA
Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner
09:40 From bottlenecks to breakthroughs: Citizen Development in action (25')
Pawel Poplawski, Director, Improvement and Automation @McCormick & Company
Michał Cieślak, Senior Manager, Automation Programs @McCormick & Company
10:05 Next-level bots: API integration in UiPath Studio (30')
Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner
10:35 ☕ Coffee Break (15')
10:50 Document Understanding with my RPA Companion (45')
Ewa Gruszka, Enterprise Sales Specialist, AI & ML @UiPath
11:35 Power up your Robots: GenAI and GPT in REFramework (45')
Krzysztof Karaszewski, Global RPA Product Manager
12:20 🍕 Lunch Break (1hr)
13:20 From Concept to Quality: UiPath Test Suite for AI-powered Knowledge Bots (30')
Kamil Miśko, UiPath MVP, Senior RPA Developer @Zurich Insurance
13:50 Communications Mining - focus on AI capabilities (30')
Thomasz Wierzbicki, Business Analyst @Office Samurai
14:20 Polish MVP panel: Insights on MVP award achievements and career profiling
Fluttercon 2024: Showing that you care about security - OpenSSF Scorecards fo...
Have you noticed the OpenSSF Scorecard badges on the official Dart and Flutter repos? It's Google's way of showing that they care about security. Practices such as pinning dependencies, branch protection, required reviews, continuous integration tests etc. are measured to provide a score and accompanying badge.
You can do the same for your projects, and this presentation will show you how, with an emphasis on the unique challenges that come up when working with Dart and Flutter.
The session will provide a walkthrough of the steps involved in securing a first repository, and then what it takes to repeat that process across an organization with multiple repos. It will also look at the ongoing maintenance involved once scorecards have been implemented, and how aspects of that maintenance can be better automated to minimize toil.
Measuring the Impact of Network Latency at Twitter
Widya Salim and Victor Ma will outline the causal impact analysis, framework, and key learnings used to quantify the impact of reducing Twitter's network latency.
Quantum Communications Q&A with Gemini LLM. These are based on Shannon's Noisy channel Theorem and offers how the classical theory applies to the quantum world.
Advanced Techniques for Cyber Security Analysis and Anomaly Detection
Cybersecurity is a major concern in today's connected digital world. Threats to organizations are constantly evolving and have the potential to compromise sensitive information, disrupt operations, and lead to significant financial losses. Traditional cybersecurity techniques often fall short against modern attackers. Therefore, advanced techniques for cyber security analysis and anomaly detection are essential for protecting digital assets. This blog explores these cutting-edge methods, providing a comprehensive overview of their application and importance.
If you’ve ever had to analyze a map or GPS data, chances are you’ve encountered and even worked with coordinate systems. As historical data continually updates through GPS, understanding coordinate systems is increasingly crucial. However, not everyone knows why they exist or how to effectively use them for data-driven insights.
During this webinar, you’ll learn exactly what coordinate systems are and how you can use FME to maintain and transform your data’s coordinate systems in an easy-to-digest way, accurately representing the geographical space that it exists within. During this webinar, you will have the chance to:
- Enhance Your Understanding: Gain a clear overview of what coordinate systems are and their value
- Learn Practical Applications: Why we need datams and projections, plus units between coordinate systems
- Maximize with FME: Understand how FME handles coordinate systems, including a brief summary of the 3 main reprojectors
- Custom Coordinate Systems: Learn how to work with FME and coordinate systems beyond what is natively supported
- Look Ahead: Gain insights into where FME is headed with coordinate systems in the future
Don’t miss the opportunity to improve the value you receive from your coordinate system data, ultimately allowing you to streamline your data analysis and maximize your time. See you there!
Transcript: Details of description part II: Describing images in practice - T...
This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator.
Link to presentation recording and slides: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/
Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.
How Social Media Hackers Help You to See Your Wife's Message.pdf
In the modern digital era, social media platforms have become integral to our daily lives. These platforms, including Facebook, Instagram, WhatsApp, and Snapchat, offer countless ways to connect, share, and communicate.
Power BI is a business analytics service that enables you to see all of your data through a single pane of glass. Live Power BI dashboards and reports...
Power BI is a self-service business intelligence tool that allows users to analyze data and create reports and visualizations. It includes components for data discovery, analysis, and visualization both on-premises using Excel and in the cloud using the Power BI service. The tool integrates with Office 365 and allows users to discover, visualize, and share insights from data.
Power BI Tutorial For Beginners | Power BI Tutorial | Power BI Demo | Power B...Edureka!
( Power BI Training - https://www.edureka.co/power-bi-training )
This Edureka videoon "Power BI Tutorial" will provide you with the fundamental knowledge on Power BI (Blog: https://goo.gl/uFTDU3). Below are the topics covered in this tutorial:
1. Why do we need Business Intelligence?
2. What is Self Service Business Intelligence?
3. Why Power BI?
4. What is Power BI?
5. Demo: Report and Dashboard Creation
Power BI Report Server Enterprise Architecture, Tools to Publish reports and ...Vishal Pawar
To improve the performance, sustainability, security and scalability of enterprise-grade Power BI implementations with constant velocity, we need to adhere best practices with sloid architecture.
In this session Vishal will go over Power BI Ecosystem with quick Example, Power BI report Server evolution from its inception till date with Architecture for Enterprise PBI RS and usage through various tool available to publish -SSDT SSRS, Power BI Desktop(Optimized Version), Report Builder and mobile report builder and various Best Practices for PBI Report Server.
Introduction to Power BI to make smart decisionsVIVEK GURURANI
Power BI: Business intelligence like never before!
Power BI is a tool that allows accounting and finance managers and professionals to have relevant information at the right time to make strategic decisions in a flexible, centralized, and secure way. Transform your business with predictive analytics, data visualization, and information in real-time, thanks to Power BI.
Presentation Agenda:
1. Introduction to Power BI
2. Why would your business need Power BI?
3. Power BI Architecture
4. Data Sanitization & Cleansing Capabilities
5. Analytical Insights
6. Generating Department Wise Reports & Visualizations
7. Latest & Upcoming Power BI features
8. Live Q&A
Explain about power BI Overview from Power BI Desktop, Power BI Service, Power BI Report Server and Power BI Mobile that consume all BI Data from Dataset and datamodel
Power BI is a business analytics service that allows users to connect to data, model and visualize data, and share insights. It includes the Power BI service, Power BI Desktop, and Power BI Premium. The Power BI service allows users to publish reports and dashboards to a cloud-based workspace for collaboration and sharing. Power BI Desktop is a free desktop application for building reports and data models. Power BI Premium provides dedicated cloud capacity for large-scale deployments and on-premises gateways.
The document introduces Power BI tools for self-service business intelligence including Excel add-ins like Power Query, PowerPivot, Power View, and Power Map. It also discusses Power BI for Office 365, the Power BI Preview, Power BI Designer, and the Power BI app. The presenter demonstrates these tools and provides resources for learning more.
Power BI Training | Getting Started with Power BI | Power BI Tutorial | Power...Edureka!
This Edureka tutorial on "Getting started with Power BI" will provide you the fundamental knowledge of Power BI. Below are the topics covered in this tutorial:
1. What is Self Service Business Intelligence?
2. Why Power BI?
3. What is Power BI?
4. Demo on Power BI
Presented to The Ottawa IT Community Meetup Group (Ottawa SQL - PASS Chapter) on Thursday September 19
Powerful Self-Service BI in Excel 2013 - Data search and discovery with Power Query (formerly "Data Explorer"), analyzing and modeling with Power Pivot, visualizing and exploring with Power View and Power Map (formerly codename "GeoFlow")
The world of business intelligence and analytics has changed from one that IT was providing the information in an organisation to more self-service data analytics that the end user has the ability to access and consume the data from a platform such as a data warehouse, as well as being able to enhance their data analytics with other data sources. In addition, the users now can easily share content and collaborate with other users. This has enabled businesses to leverage from making better decisions in more agile way. However, giving the users a lot of freedom in accessing and sharing data without any governance can expose the businesses to serious security and privacy risks.
In this session, we discussed what governance means when it comes to Power BI and how to implement an organisation-wide governance framework for Power BI ecosystem, without preventing the business to naturally grow in its analytics capability a long with some real-world examples and good practices.
This document provides an introduction to Power BI, a business intelligence tool for data visualization. It discusses how Power BI helps organizations make more data-driven decisions by combining business analytics, data mining, visualization and infrastructure. Key features of Power BI include rich dashboards, report publishing, no constraints on memory or speed, and no need for technical support. Power BI consists of desktop, service and mobile app components and allows users to connect to data, model and format it, create visualizations, and publish reports.
Power bi (1)Power BI Online Training Hyderabad | power bi online training ben...Big IT Trainings
Power BI Desktop integrates proven Microsoft technologies the powerful Query engine, data modeling, and visualizations. All sorts of different data sources, then combine and shape them in ways that facilitate making interesting, in Power BI online Training.
Power BI for Big Data and the New Look of Big Data SolutionsJames Serra
New features in Power BI give it enterprise tools, but that does not mean it automatically creates an enterprise solution. In this talk we will cover these new features (composite models, aggregations tables, dataflow) as well as Azure Data Lake Store Gen2, and describe the use cases and products of an individual, departmental, and enterprise big data solution. We will also talk about why a data warehouse and cubes still should be part of an enterprise solution, and how a data lake should be organized.
This document provides an overview and agenda for a Power BI presentation. It discusses Power BI capabilities for end-to-end business intelligence including discovering, analyzing, visualizing and exploring data from Excel and the cloud. It also outlines Power BI features for the cloud like data search, refresh, mobile access and Q&A. The presentation concludes by discussing Power BI's next version including enhanced dashboards, mobile apps, APIs and hybrid scenarios.
Power BI is a business analytics service by Microsoft. It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.
This presentation will give you an overview of what Microsoft Power BI is. What are its features. Why it is an upcoming popular Data Visualization tool in the market. How to use it and comparison with other Visualization tools.
Slides for the Usergroup meeting for the Manchester Power BI User Group on June 27th, 2019.
Subject: Power BI for Developers about Power BI Embedded and Power BI Custom Visuals
This document provides an overview and instructions for attending a "Dashboard in a Day" workshop on Microsoft Power BI. It includes prerequisites for the workshop, such as having a computer that meets minimum system requirements and having a Power BI account. The agenda outlines the topics to be covered, including introductions, building reports and dashboards in Power BI Desktop and the Power BI service, and opportunities for questions. Resources are provided on connecting to the workshop wireless network and engaging with the broader Power BI community.
This document provides an overview and agenda for a one-day training on building dashboards in Power BI. It outlines prerequisites including required software and accounts. The training will take place both in the morning and afternoon, covering topics such as accessing and preparing data, data modeling, visualizations, publishing reports, and building and sharing dashboards. Hands-on labs are included for each major topic.
Power BI provides self-service business intelligence and analytics capabilities powered by artificial intelligence. It unifies self-service and enterprise BI by bringing together data from various sources and allowing users at all levels of an organization to access and analyze information. Power BI also leverages Azure services for advanced analytics capabilities like big data processing, machine learning and artificial intelligence. This enables organizations to gain deeper insights from their data at scale.
Create a single source of truth
The starting point for building a data-driven culture is establishing a single source of truth. We make this easy with Power BI, a modern BI cloud service that connects to all of your data, wherever it lives, in the cloud or on premises, Microsoft or non-Microsoft. It delivers insights to you in any way, anywhere, from mobile to web, as well as embedded in apps, both first party and third party. Office 365 further extends this with versions that allow you to quickly look at differences, auditing and roll back, allowing you to confidently manage the single version of truth.
Analyze & visualize data
The next step is to make it easy to analyze and explore data, then share it out seamlessly. Here we deliver the industry leading analyst tool with Excel, which allows you to ask questions at the pace of your business transformation, in a tool you use daily. Sometimes it's easier for us to spot trends and outliers when data is presented visually. Power BI makes visualization simple and easy. Sometimes we want both. Power BI integrates natively with Excel, so users can easily dive deeper into visualizations from Excel and vice-versa. Together with Visio, you can visualize complex process flows directly into Power BI.
Run your business in real time with live dashboards
All of the visualizations and dashboards you create in Power BI, Excel, and Visio can be programmed to update in real-time, so that you can react to opportunities and threats as soon as they appear.
Put insights at the center of teamwork
Lastly, with the growing importance of teamwork in the modern workplace it’s critical that teams can collaborate on data in real-time. Power BI and Excel both integrate natively with Teams and Office 365, making it easier to create consensus based on data.
Conclusion
All of these capabilities add up to better, faster decision-making – a 2017 study by Forrester found that with Microsoft 365 E5 employees make decisions in 18% less time – think about how much faster your business could move with decisions made in hours or days rather than weeks.
ทีมงาน MVPSkill ร่วมกับบริษัท ไมโครซอฟต์ (ประเทศไทย) จำกัดขอเชิญผู้สนใจเข้าร่วมงาน “Power Platform Series : App in a day in Action” งานที่จะมาพาผู้เข้าร่วมงานทุกท่านเดินทางสู่การพัฒนา Application ขึ้นใช้เองในองค์กรอย่างง่ายๆ โดยใช้ Power Platforms ที่มีประสิทธิภาพ และอำนวยความสะดวกให้ท่านเป็นอย่างมาก ท่านจะสามารถพัฒนา Application ขึ้นเองได้โดยเขียน Code เพียงไม่กี่บรรทัด (หรืออาจจะไม่ต้องเขียนเลยก็ได้)
Powerbi presentation from Microsoft CorporationEngineerMBA1
This document provides an overview of the Power BI online service and its key capabilities for creating reports and dashboards, exploring data visually and with natural language queries, sharing insights with others, and accessing content on mobile devices. It also describes additional Power BI features for pinning various external data sources to dashboards, performing quick analyses, and setting up data alerts and security settings.
Microsoft Power BI is a cloud-based business analytics service. This document provides an overview of Power BI and its key capabilities. It discusses connecting to various data sources, creating reports and dashboards, exploring data using natural language queries, and sharing insights across an organization. The document also describes the Power BI online service experience and how to work with reports, dashboards, and collaborate with others.
Power BI Training (Data Analytics& Business Intelegence)AnggaFernando3
Microsoft Power BI is a cloud-based business analytics service. This document provides an overview of Power BI and its key capabilities. It discusses connecting to various data sources, creating reports and dashboards, exploring data using natural language queries, and sharing insights across an organization. The document also describes the Power BI online service experience and how to work with reports, dashboards, and collaborate with others.
Microsoft Power BI is a cloud-based business analytics service. This document provides an overview of Power BI and its key capabilities. It discusses connecting to various data sources, creating reports and dashboards, exploring data using natural language queries, and sharing insights across an organization. The document also describes the Power BI online service experience and how to work with reports, dashboards, and other features in the browser or mobile apps.
Microsoft Power BI is a cloud-based business analytics service. This document provides an overview of Power BI and its key capabilities. It discusses connecting to various data sources, creating reports and dashboards, exploring data using natural language queries, and sharing insights across an organization. The document also describes the Power BI online service experience and how to work with reports, dashboards, and other features in the browser or mobile apps.
Modern Business Intelligence - Design and ImplementationsDavid J Rosenthal
During the first two “waves” of business intelligence, IT professionals and business analysts were the keepers of BI. They made BI accessible and consumable for end users.
While this approach still applies to complex business intelligence needs, today there is a new “wave.” This third wave of BI makes BI available to every kind of user.
As customer strive to take advantage of the digital transformation that is occurring in virtually every industry, they need to re-evaluate how they engage with their customers/prospects, how they transform their products and operations, and how they empower and understand their employees.
In today’s world, doing each of these things is more and more reliant upon data…traditionally, everything you knew about your customers and prospects was available in your business application systems and in the heads of employees. You learned almost everything about your products BEFORE they left your warehouse. Employees used technology more to enter data than to learn from it.
In the data-driven world we live in today, leveraging intelligent insights from data across customers, products, and employees is critical to be able to stay competitive and keep up with or lead digital transformation in any industry. And this isn’t just a customer’s typical business application data – it’s also about augmenting the customer’s data with additional data (e.g. search, employee behavioral data, sentiment data, benchmark data, etc..) – and applying the right intelligence to drive meaningful insights.
Power BI On AIR - Melissa Coates: "What You Need to Know to Administer Power BI"Bohdan Maherus
Session #1 - Melissa Coates: "What You Need to Know to Administer Power BI"
YouTube channel: https://www.youtube.com/channel/UCOAWiig6JH1i8MqcniEVbTg
LinkedIn: https://www.linkedin.com/groups/8933736/
Melissa Coates
Owner of Coates Data Strategies. Microsoft Data Platform MVP.
Data architect with a background in data warehousing and business intelligence. Her current professional focus is enterprise-level Power BI governance, deployment, security, and administration. As the owner of Coates Data Strategies, Melissa produces training and consults to help companies strengthen and sustain their data-driven initiatives. Melissa is a big supporter of the technical community, and has been a Microsoft Data Platform MVP since 2013.
Topic: "What You Need to Know to Administer Power BI".
The Power BI administrator is a very high privilege role. Some administration activities apply consistently for every organization, whereas others depend on how Power BI is being used for self-service and corporate business intelligence initiatives. Each organization's needs related to security, governance, auditing, and data management influence the scope of responsibilities for a Power BI administrator.
Power BI vs Tableau - An Overview from EPC Group.pptxEPC Group
Power BI and Tableau are two dominating business intelligence technologies, and many enterprises use either of them. Both the tools collect, integrate, analyze, and present business data. They assist you in performing data analysis, data manipulation, and data visualization to extract sense from raw business data.
Businesses, learners, and practitioners often find it hard to decide which tool is best for them. We organized this webinar to discuss some significant differences between Power BI and Tableau and help you find the best BI tool suiting your requirements.
Key Points of Discussion:
-History of Power BI and Tableau
-Cost of Power BI and Tableau
-Performance and Functionality of -Power BI vs. Tableau
-User Interface of Power BI and Tableau
-Data Sources in Power BI and Tableau
Power BI: Introduction with a use case and solutionAlvina Verghis
This PPT gives a brief introduction to the Power BI software. It gives the brief intro of the software with a use case of how Power BI is used in Heathrow Airport for ease of functions
This document provides an agenda for the Sydney Business Intelligence User Group meeting in November 2014. The meeting will feature a presentation titled "Power BI – Beyond the Basics" presented by Iman Eftekhari of Agile BI. The presentation will cover the main features and capabilities of Power BI using real-world examples and scenarios. It will also discuss best practices and tips for getting the most out of Power BI. The document lists several sponsors of the event, including software companies that provide tools for business intelligence.
Empowering you - Power BI, Power Platform & AI BuilderRui Quintino
Slides for the "Microsoft Empowering You" webinar about Power BI, Power Apps, Power Automate & AI Builder by DevScope.
Explore how Power Platform & AI Builder can enrich your Power BI experience.
Watch the full session at https://youtu.be/IhwiESvFaxg
(English subtitles available)
What is the Best Data Visualization Tool: Power BI or Tableau?Digital Dialogue
Business Intelligence (BI) is a vital field of computer science that involves a range of processes and technologies aimed at gathering, storing, analyzing, and providing access to data to enhance business decision-making. Read more here!
General Presentation - DIAD and AIAD, Dashboard and AppsVishal Pawar
General presentation by Vishal Pawar for DIAD and AIAD
Green House Data invites you and your team to a 3 day online Power BI and Power Apps Training with Vishal Pawar, Microsoft MVP who has 10+ years in Microsoft BI and the data stack.
Day 1: Power BI Dashboard in a Day
Day 2: Power Apps and Power Automate in a Day
Choctaw Nation - Power bi dashboard, report server report in DayVishal Pawar
This document has two main sections:
• Power BI Desktop: This section highlights the features available in Power BI Desktop and walks the user through the process of bringing in data from the data source, modeling and creating visualizations.
• Power BI Service: This section highlights the features available in Power BI Service including the ability to publish the Power BI Desktop model to the web, creating and sharing dashboard and Q & A.
The document flow is in a table format. On the left panel are steps the user needs to follow and in the right panel are screenshots to provide a visual aid for the users. In the screenshots, sections are highlighted with red boxes to highlight the action/area user needs to focus on.
#History of #PowerBI
Introduction of #DigitalTransformation
Introduction of #PowerPlatform and how #PowerBI fits in.
Building Blocks of #PowerBI
Showed a #real-life scenario
Avail Power BI Consulting Services to Integrate SeamlesslyElena Mia
To know more about Power BI and other Microsoft’s power platforms, connect with our Power BI Consulting Services experts.
Source Url:- https://medium.com/@elenamia/avail-power-bi-consulting-services-to-integrate-seamlessly-e48d34fa4d44
Similar to Power BI Overview, Deployment and Governance (20)
Microsoft Fabric is the next version of Azure Data Factory, Azure Data Explorer, Azure Synapse Analytics, and Power BI. It brings all of these capabilities together into a single unified analytics platform that goes from the data lake to the business user in a SaaS-like environment. Therefore, the vision of Fabric is to be a one-stop shop for all the analytical needs for every enterprise and one platform for everyone from a citizen developer to a data engineer. Fabric will cover the complete spectrum of services including data movement, data lake, data engineering, data integration and data science, observational analytics, and business intelligence. With Fabric, there is no need to stitch together different services from multiple vendors. Instead, the customer enjoys end-to-end, highly integrated, single offering that is easy to understand, onboard, create and operate.
This is a hugely important new product from Microsoft and I will simplify your understanding of it via a presentation and demo.
Agenda:
What is Microsoft Fabric?
Workspaces and capacities
OneLake
Lakehouse
Data Warehouse
ADF
Power BI / DirectLake
Resources
Data Lakehouse, Data Mesh, and Data Fabric (r2)James Serra
So many buzzwords of late: Data Lakehouse, Data Mesh, and Data Fabric. What do all these terms mean and how do they compare to a modern data warehouse? In this session I’ll cover all of them in detail and compare the pros and cons of each. They all may sound great in theory, but I'll dig into the concerns you need to be aware of before taking the plunge. I’ll also include use cases so you can see what approach will work best for your big data needs. And I'll discuss Microsoft version of the data mesh.
Data Lakehouse, Data Mesh, and Data Fabric (r1)James Serra
So many buzzwords of late: Data Lakehouse, Data Mesh, and Data Fabric. What do all these terms mean and how do they compare to a data warehouse? In this session I’ll cover all of them in detail and compare the pros and cons of each. I’ll include use cases so you can see what approach will work best for your big data needs.
Data Warehousing Trends, Best Practices, and Future OutlookJames Serra
Over the last decade, the 3Vs of data - Volume, Velocity & Variety has grown massively. The Big Data revolution has completely changed the way companies collect, analyze & store data. Advancements in cloud-based data warehousing technologies have empowered companies to fully leverage big data without heavy investments both in terms of time and resources. But, that doesn’t mean building and managing a cloud data warehouse isn’t accompanied by any challenges. From deciding on a service provider to the design architecture, deploying a data warehouse tailored to your business needs is a strenuous undertaking. Looking to deploy a data warehouse to scale your company’s data infrastructure or still on the fence? In this presentation you will gain insights into the current Data Warehousing trends, best practices, and future outlook. Learn how to build your data warehouse with the help of real-life use-cases and discussion on commonly faced challenges. In this session you will learn:
- Choosing the best solution - Data Lake vs. Data Warehouse vs. Data Mart
- Choosing the best Data Warehouse design methodologies: Data Vault vs. Kimball vs. Inmon
- Step by step approach to building an effective data warehouse architecture
- Common reasons for the failure of data warehouse implementations and how to avoid them
Azure Synapse Analytics is Azure SQL Data Warehouse evolved: a limitless analytics service, that brings together enterprise data warehousing and Big Data analytics into a single service. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources, at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate business intelligence and machine learning needs. This is a huge deck with lots of screenshots so you can see exactly how it works.
Azure Synapse Analytics is Azure SQL Data Warehouse evolved: a limitless analytics service, that brings together enterprise data warehousing and Big Data analytics into a single service. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources, at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate business intelligence and machine learning needs. This is a huge deck with lots of screenshots so you can see exactly how it works.
The data lake has become extremely popular, but there is still confusion on how it should be used. In this presentation I will cover common big data architectures that use the data lake, the characteristics and benefits of a data lake, and how it works in conjunction with a relational data warehouse. Then I’ll go into details on using Azure Data Lake Store Gen2 as your data lake, and various typical use cases of the data lake. As a bonus I’ll talk about how to organize a data lake and discuss the various products that can be used in a modern data warehouse.
Power BI has become a product with a ton of exciting features. This presentation will give an overview of some of them, including Power BI Desktop, Power BI service, what’s new, integration with other services, Power BI premium, and administration.
The breath and depth of Azure products that fall under the AI and ML umbrella can be difficult to follow. In this presentation I’ll first define exactly what AI, ML, and deep learning is, and then go over the various Microsoft AI and ML products and their use cases.
This document provides an overview and summary of the author's background and expertise. It states that the author has over 30 years of experience in IT working on many BI and data warehouse projects. It also lists that the author has experience as a developer, DBA, architect, and consultant. It provides certifications held and publications authored as well as noting previous recognition as an SQL Server MVP.
Embarking on building a modern data warehouse in the cloud can be an overwhelming experience due to the sheer number of products that can be used, especially when the use cases for many products overlap others. In this talk I will cover the use cases of many of the Microsoft products that you can use when building a modern data warehouse, broken down into four areas: ingest, store, prep, and model & serve. It’s a complicated story that I will try to simplify, giving blunt opinions of when to use what products and the pros/cons of each.
AI for an intelligent cloud and intelligent edge: Discover, deploy, and manag...James Serra
Discover, manage, deploy, monitor – rinse and repeat. In this session we show how Azure Machine Learning can be used to create the right AI model for your challenge and then easily customize it using your development tools while relying on Azure ML to optimize them to run in hardware accelerated environments for the cloud and the edge using FPGAs and Neural Network accelerators. We then show you how to deploy the model to highly scalable web services and nimble edge applications that Azure can manage and monitor for you. Finally, we illustrate how you can leverage the model telemetry to retrain and improve your content.
In three years I went from a complete unknown to a popular blogger, speaker at PASS Summit, a SQL Server MVP, and then joined Microsoft. Along the way I saw my yearly income triple. Is it because I know some secret? Is it because I am a genius? No! It is just about laying out your career path, setting goals, and doing the work.
I'll cover tips I learned over my career on everything from interviewing to building your personal brand. I'll discuss perm positions, consulting, contracting, working for Microsoft or partners, hot fields, in-demand skills, social media, networking, presenting, blogging, salary negotiating, dealing with recruiters, certifications, speaking at major conferences, resume tips, and keys to a high-paying career.
Your first step to enhancing your career will be to attend this session! Let me be your career coach!
Is the traditional data warehouse dead?James Serra
With new technologies such as Hive LLAP or Spark SQL, do I still need a data warehouse or can I just put everything in a data lake and report off of that? No! In the presentation I’ll discuss why you still need a relational data warehouse and how to use a data lake and a RDBMS data warehouse to get the best of both worlds. I will go into detail on the characteristics of a data lake and its benefits and why you still need data governance tasks in a data lake. I’ll also discuss using Hadoop as the data lake, data virtualization, and the need for OLAP in a big data solution. And I’ll put it all together by showing common big data architectures.
Differentiate Big Data vs Data Warehouse use cases for a cloud solutionJames Serra
It can be quite challenging keeping up with the frequent updates to the Microsoft products and understanding all their use cases and how all the products fit together. In this session we will differentiate the use cases for each of the Microsoft services, explaining and demonstrating what is good and what isn't, in order for you to position, design and deliver the proper adoption use cases for each with your customers. We will cover a wide range of products such as Databricks, SQL Data Warehouse, HDInsight, Azure Data Lake Analytics, Azure Data Lake Store, Blob storage, and AAS as well as high-level concepts such as when to use a data lake. We will also review the most common reference architectures (“patterns”) witnessed in customer adoption.
Databricks is a Software-as-a-Service-like experience (or Spark-as-a-service) that is a tool for curating and processing massive amounts of data and developing, training and deploying models on that data, and managing the whole workflow process throughout the project. It is for those who are comfortable with Apache Spark as it is 100% based on Spark and is extensible with support for Scala, Java, R, and Python alongside Spark SQL, GraphX, Streaming and Machine Learning Library (Mllib). It has built-in integration with many data sources, has a workflow scheduler, allows for real-time workspace collaboration, and has performance improvements over traditional Apache Spark.
Azure SQL Database Managed Instance is a new flavor of Azure SQL Database that is a game changer. It offers near-complete SQL Server compatibility and network isolation to easily lift and shift databases to Azure (you can literally backup an on-premise database and restore it into a Azure SQL Database Managed Instance). Think of it as an enhancement to Azure SQL Database that is built on the same PaaS infrastructure and maintains all it's features (i.e. active geo-replication, high availability, automatic backups, database advisor, threat detection, intelligent insights, vulnerability assessment, etc) but adds support for databases up to 35TB, VNET, SQL Agent, cross-database querying, replication, etc. So, you can migrate your databases from on-prem to Azure with very little migration effort which is a big improvement from the current Singleton or Elastic Pool flavors which can require substantial changes.
Microsoft Data Platform - What's includedJames Serra
This document provides an overview of a speaker and their upcoming presentation on Microsoft's data platform. The speaker is a 30-year IT veteran who has worked in various roles including BI architect, developer, and consultant. Their presentation will cover collecting and managing data, transforming and analyzing data, and visualizing and making decisions from data. It will also discuss Microsoft's various product offerings for data warehousing and big data solutions.
Learning to present and becoming good at itJames Serra
Have you been thinking about presenting at a user group? Are you being asked to present at your work? Is learning to present one of the keys to advancing your career? Or do you just think it would be fun to present but you are too nervous to try it? Well take the first step to becoming a presenter by attending this session and I will guide you through the process of learning to present and becoming good at it. It’s easier than you think! I am an introvert and was deathly afraid to speak in public. Now I love to present and it’s actually my main function in my job at Microsoft. I’ll share with you journey that lead me to speak at major conferences and the skills I learned along the way to become a good presenter and to get rid of the fear. You can do it!
INDIAN AIR FORCE FIGHTER PLANES LIST.pdfjackson110191
These fighter aircraft have uses outside of traditional combat situations. They are essential in defending India's territorial integrity, averting dangers, and delivering aid to those in need during natural calamities. Additionally, the IAF improves its interoperability and fortifies international military alliances by working together and conducting joint exercises with other air forces.
Blockchain technology is transforming industries and reshaping the way we conduct business, manage data, and secure transactions. Whether you're new to blockchain or looking to deepen your knowledge, our guidebook, "Blockchain for Dummies", is your ultimate resource.
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UiPath Community Day Kraków: Devs4Devs ConferenceUiPathCommunity
We are honored to launch and host this event for our UiPath Polish Community, with the help of our partners - Proservartner!
We certainly hope we have managed to spike your interest in the subjects to be presented and the incredible networking opportunities at hand, too!
Check out our proposed agenda below 👇👇
08:30 ☕ Welcome coffee (30')
09:00 Opening note/ Intro to UiPath Community (10')
Cristina Vidu, Global Manager, Marketing Community @UiPath
Dawid Kot, Digital Transformation Lead @Proservartner
09:10 Cloud migration - Proservartner & DOVISTA case study (30')
Marcin Drozdowski, Automation CoE Manager @DOVISTA
Pawel Kamiński, RPA developer @DOVISTA
Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner
09:40 From bottlenecks to breakthroughs: Citizen Development in action (25')
Pawel Poplawski, Director, Improvement and Automation @McCormick & Company
Michał Cieślak, Senior Manager, Automation Programs @McCormick & Company
10:05 Next-level bots: API integration in UiPath Studio (30')
Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner
10:35 ☕ Coffee Break (15')
10:50 Document Understanding with my RPA Companion (45')
Ewa Gruszka, Enterprise Sales Specialist, AI & ML @UiPath
11:35 Power up your Robots: GenAI and GPT in REFramework (45')
Krzysztof Karaszewski, Global RPA Product Manager
12:20 🍕 Lunch Break (1hr)
13:20 From Concept to Quality: UiPath Test Suite for AI-powered Knowledge Bots (30')
Kamil Miśko, UiPath MVP, Senior RPA Developer @Zurich Insurance
13:50 Communications Mining - focus on AI capabilities (30')
Thomasz Wierzbicki, Business Analyst @Office Samurai
14:20 Polish MVP panel: Insights on MVP award achievements and career profiling
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You can do the same for your projects, and this presentation will show you how, with an emphasis on the unique challenges that come up when working with Dart and Flutter.
The session will provide a walkthrough of the steps involved in securing a first repository, and then what it takes to repeat that process across an organization with multiple repos. It will also look at the ongoing maintenance involved once scorecards have been implemented, and how aspects of that maintenance can be better automated to minimize toil.
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Quantum Communications Q&A with Gemini LLM. These are based on Shannon's Noisy channel Theorem and offers how the classical theory applies to the quantum world.
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During this webinar, you’ll learn exactly what coordinate systems are and how you can use FME to maintain and transform your data’s coordinate systems in an easy-to-digest way, accurately representing the geographical space that it exists within. During this webinar, you will have the chance to:
- Enhance Your Understanding: Gain a clear overview of what coordinate systems are and their value
- Learn Practical Applications: Why we need datams and projections, plus units between coordinate systems
- Maximize with FME: Understand how FME handles coordinate systems, including a brief summary of the 3 main reprojectors
- Custom Coordinate Systems: Learn how to work with FME and coordinate systems beyond what is natively supported
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Link to presentation recording and slides: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/
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1. James Serra
Data & AI Architect
Microsoft, NYC MTC
JamesSerra3@gmail.com
Blog: JamesSerra.com
2. About Me
Microsoft, Big Data Evangelist
In IT for 30 years, worked on many BI and DW projects
Worked as desktop/web/database developer, DBA, BI and DW architect and developer, MDM
architect, PDW/APS developer
Been perm employee, contractor, consultant, business owner
Presenter at PASS Business Analytics Conference, PASS Summit, Enterprise Data World conference
Certifications: MCSE: Data Platform, Business Intelligence; MS: Architecting Microsoft Azure
Solutions, Design and Implement Big Data Analytics Solutions, Design and Implement Cloud Data
Platform Solutions
Blog at JamesSerra.com
Former SQL Server MVP
Author of book “Reporting with Microsoft SQL Server 2012”
3. Table of Contents
1. Overview & Product Portfolio
2. Deployment Strategy
3. Usage Scenarios & Prototyping
4. External Sharing
5. Data Storage & Data Refresh
6. Administration & Security
10. Power BI Premium
Dedicated resources in the cloud
Flexibility to license by capacity
Greater scale and performance
Extending on-premises capabilities
Premium capacity – P3
Premium capacity – P2
Premium capacity – P1
My workspace
User 2
My workspace
User 3
App workspace
Marketing
App workspace
Sales
My workspace
User 1
APIs
Custom app
Power BI service – Contoso organization
Power BI Premium
11. On-premise reporting solution
Power BI reports and SSRS report on-premises
Connect to data
Over 70+. Data can be imported, queried directly or live connection to SSAS
Power BI reports
Fully interactive reports on-premises to visualize your data and gain insights
SSRS reports
Precisely formatted operational reports
Consume in multiple ways
Mobile Apps, Web Portal, Embedded in your organizational apps
12. Spend time focusing on your product instead of
building visual analytic features from scratch
Connect to countless data sources so that you can
expose insights to your customers
Take advantage of our existing Custom Visual library
or dream up the right visual for your customers
Embed consistent, easy-to-navigate visualization
experiences across any device
Leverage other familiar services like Visual Studio,
Azure Web Aps and other Azure services
Embed stunning, fully interactive reports and visuals into your applications
13. Power BI Desktop Data sources
Over 100+ data sources and growing (Oct 2019)
14. February 2019
*Gartner “Magic Quadrant for Analytics and Business Intelligence Platforms,” by Cindi Howson, Rita L. Sallam, James Laurence Richardson, Joao Tapadinhas, Carlie J. Idoine, Alys Woodward, February 2018
The above graphics were published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Microsoft. Gartner does not endorse any
vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research
organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
16. Today, BI extends to everyone
Everyone
Analyst to end user
IT to end user
2nd wave
Self-service BI
1st wave
Technical BI
3rd wave
End user BI
21. Power BI Delivery Approaches
Business-Led
Self-Service BI
Bottom-Up Approach
IT-Managed
Self-Service BI
Blended Approach
Corporate BI
Top-Down Approach
Analysis using any type of data source; emphasis on
data exploration and freedom to innovate
Ownership:
Business supports all elements of the solution
Scope of Power BI use by business users:
Data preparation, data modeling, report creation &
execution
Governed by:
Business
A “managed” approach wherein reporting utilizes only
predefined/governed data sources
Ownership:
IT: data + semantic layer
Business: reports
Scope of Power BI use by business users:
Creation of reports and dashboards
Governed by:
IT: data + semantic layer
Business: reports
Utilization of reports and dashboards published by IT
for business users to consume
Ownership:
IT supports all elements of the solution
Scope of Power BI use by business users:
Execution of
published reports
Governed by:
IT
Ownership Transfer
Over time, certain self-service solutions deemed as critical to the business may transfer ownership and maintenance to IT. It’s also possible for business users to adopt a
prototype created by IT.
22. Key Decision Points
Where is the source data stored?
In a web-based cloud service, in a proprietary on-premises database,
etc.
Who is going to be responsible for dataset and/or
report development?
Segment of dataset authors, report authors, and consumers
Who is going to consume the reports?
Select number of internal users only, a wide variety of internal users,
and/or external users such as customers or business partners
How will they consume reports?
In a web browser, via mobile devices, embedded within an application,
etc.
What are the usage patterns? Dashboards, reports, interactive filtering and/or downloads of data
How much data latency (delay) is acceptable?
Importing the data generally offers superior performance, but requires
a data refresh which introduces latency
Do corporate security standards permit publishing
data to a cloud-based service?
The Power BI Service is cloud-based and offers the most functionality;
on-premises deployments can be done with Power BI Report Server
integration
What is the complexity level of the solution? Model size/complexity, query complexity, row-level security needs
23. Enterprise Wide Roll Out Responsibilities
Corporate BI
• Product evaluation
• Governance and security
• Infrastructure setup
• IT led solution delivery
• IT Training
Business-Led Self Service BI
• Work with IT on the service management
aspects
• End user/ Power user training
• Identify Power BI Champions within
teams/departments
• Business led reporting insights shared
with IT
24. Licensing Considerations
Power BI Pro Only
Segmentation of who consumes and publishes is limited when deploying
a “Power BI Pro Only” user-based model.
• Pro Only = All Pro users are trusted to publish
Power BI Premium
Power BI Premium provides the best flexibility for managing what
information is published
• Premium + Pro Users = Pro users segmented as authors while
unlicensed users consume from a Premium backed workspace
30. Definitions
Power BI App Workspace: A shared collaboration area within the Power BI Service. An App Workspace is a distinct area,
separate from My Workspace, which is dedicated to a specific team, subject area, or project. Power BI and Excel reports are
published to an App Workspace so that colleagues can view the content and contribute as appropriate. App Workspaces must
be specifically created
Power BI App: A set of packaged up content in the Power BI Service for the purpose of distributing related reports and
dashboards to a larger base of consuming users
Collaboration is associated to multi-person content creation within an App Workspace
Sharing is associated with the individual report and dashboard sharing feature in Power BI
Distribution is associated with the ability to publish Apps from an App Workspace or the ability to embed content in portals or
collaboration applications
My Workspace: Every Power BI user has a workspace created for them automatically called "My Workspace", which is
intended purely for personal use
41. Workflow Automation + Updating Data from
Within Power BI
The family of tools that is
comprised of Power BI,
Flow, and PowerApps
allows for many
interesting use cases that
involve integration
between these three
business applications.
In this scenario, envision
that we are checking for
data quality issues or
missing data. Flow is
used to send a
customized e-mail alert
which directs a user back
to Power BI to update
some source data:
46. Power BI service Live Connection
Get Data -> Power Platform -> Power BI datasets
To give others access to a dataset, after publishing, give Build
permission to the dataset in the Power BI service
47. Power BI templates
• .pbit files
• Corporate color scheme
• Corporate branding
• Connections to commonly used data sources
• Parameterized queries
• Commonly used DAX measures
51. Storage Modes
Desktop Service Desktop & Service
Connection Type
Edit
Queries
Modeling Visuals
Requires
Refresh
Current Data
Displayed
Data Copied
to PBI
Data Stays in
Source
Import X X X X X
Direct Query X X X X
Live Connection X X X
57. Composite Models
Allows a single report to seamlessly combine data from one or
more DirectQuery sources, and/or combine data from a mix of
DirectQuery sources and imported data. So this means you can
combine multiple DirectQuery sources with multiple Import
sources.
58. Aggregations
Create layers of pre-aggregated values that are
stored in memory that allow fast queries of
billions of rows.
61. Power BI Gateway
High availability clusters and load balancing: https://docs.microsoft.com/en-us/data-integration/gateway/service-gateway-high-availability-clusters
62. When Do I Need the Gateway?
A gateway is required to access on-premises data sources for data refresh, DirectQuery, or SSAS
live connection.
Typically, a data gateway is not necessary to access cloud sources, with the following exceptions:
1. Data sources which reside in an IaaS (Infrastructure-as-a-Service) virtual machine.
2. If the Web.Page() function is utilized in an M query.
3. When a single M query combines data from cloud and on-premises data sources.
PaaS (Platform-as-a-Service) services, such as Azure SQL Database, Azure SQL Data Warehouse, or
Azure Analysis Services do not require a gateway for connectivity, nor do SaaS (Software-as-a-
Service) solutions such as Salesforce or Google Analytics.
Setting up the On-Premises Data Gateway involves the following process:
65. Dev = App Workspace; Prod = App
Publish Type = Manual
The first option involves utilizing an App Workspace as the Development area. The act of
publishing or updating an App represents moving content into Production.
This option is lightweight and easy to implement.
It offers the ability to control exactly when the user base sees changes to reports and dashboards.
A middle tier to handle testing is not available.
If there are different data source connections (ex: to query from, say, a test system instead of a production system), that cannot be handled in
this option.
66. Dev, Test, Prod = Distinct App Workspaces + Distinct Apps
Publish Type = Manual
The second option involves more complex application
lifecycle management. This option depicts the usage of
separate App Workspaces for the separation of
Development, Test, and Production.
Since the different tiers are specifically enumerated,
the number of environments needed can be easily
customized to exactly what is needed.
This option requires some processes/procedures,
and efficient team communication, to execute
seamlessly. IT teams are typically used to this type of
rigor, whereas business-oriented teams are often
less familiar with deployment processes.
Since this technique relies on publishing from Power
BI Desktop, usage of the Power BI Service for
content creation (i.e., web only reports) is
discouraged.
A future feature coming to App Workspace
management is the ability to copy content between
App Workspaces. At that point in time, the
publishing process beyond the Development
environment would no longer involve Power BI
Desktop. (See Option 3 next for a current alternative.)
67. Dev, Test, Prod = Distinct App Workspaces + Distinct Apps
Publish Type = Automated
The third option also involves separate App Workspaces for the
separation of Development, Test, and Production. However,
instead of deploying from Power BI Desktop as shown in Option
2, the Power BI REST APIs are utilized to export content from a
workspace and re-import to another. This technique is discussed
in this blog post, which also includes a sample PowerShell script.
Since the different tiers are specifically enumerated, the
number of environments needed can be easily customized
to exactly what is needed.
This technique changes the Test and Production
deployment techniques to a programmatic process, which
is considered a much more sound practice for deployments
as compared to deploying from a client tool like Power BI
Desktop.
This technique clones all of the content from a workspace,
so it can also deploy dashboards and web-only reports.
Requires knowledge of using PowerShell to call the Power
BI REST APIs.
This option requires some processes/procedures, and
efficient team communication, to execute seamlessly. IT
teams are typically used to this type of rigor, whereas
business-oriented teams are often less familiar with
deployment processes.
There is not currently an API to publish an App. Therefore, it
is not possible to completely automate the full end-to-end
process.
Can now use Power BI cmdlets instead of Power BI REST API calls
68. The future of content lifecycle management in Power BI
https://myignite.techcommunity.microsoft.com/sessions/83502
69. The future of content lifecycle management in Power BI
https://myignite.techcommunity.microsoft.com/sessions/83502
71. Power BI integrates with Azure Active Directory Business-to-Business (AAD B2B) to allow secure distribution of Power BI content to
guest users outside the organization – while still maintaining control over the internal data.
cc c
Azure B2B – Overview
Approach 1 Approach 2 Approach 3
Lucy has no Power
BI License, but can
still access Contoso’s
app, since it is in
premium
Power BI Premium Pro Licenses Assigned Manually Guest’s Bring their Own License
Supports Ad-hoc Invites, Planned Individual Invites (via Admin portal), and Bulk Invites (via PowerShell)
73. Azure B2B – Governance
Control guest invites
Power BI administrators can control external sharing just for Power BI by visiting the Power BI admin portal. But
tenant administrators can also control external sharing with various AAD policies. These policies allow tenant
administrators to
• Turn off invitations by end users
• Only admins and users in the Guest Inviter role can invite
• Admins, the Guest Inviter role, and members can invite
• All users, including guests, can invite
You can read more about these policies in Delegate invitations for Azure Active Directory B2B collaboration.
All Power BI actions by external users are also audited in our auditing portal.
Conditional Access policies for guest users
Contoso can enforce conditional access policies for guest users who access content from the Contoso tenant.
You can find detailed instructions in Conditional access for B2B collaboration users.
74. Azure B2B – FAQ
Can I send an invitation that is automatically redeemed, so that the user is just “ready to go”? Or does the user always have to
click through to the redemption URL?
• Invitations that are sent by a user in the inviting organization who is also a member of the partner organization do not
require redemption by the B2B user.
• You should invite one user from the partner organization to join the inviting organization. Add this user to the guest
inviter role in the resource organization. This user can invite other users in the partner organization by using the sign-in
UI, PowerShell scripts, or APIs. Then, B2B collaboration users from that organization aren't required to redeem their
invitations.
Can I force multi-factor authentication for guest users if its partners don't have multi-factor authentication?
• Yes. For more information, see Conditional access for B2B collaboration users.
How does B2B collaboration work when the invited partner is using federation to add their own on-premises authentication?
• If the partner has an Azure AD tenant that is federated to the on-premises authentication infrastructure, on-premises
single sign-on (SSO) is automatically achieved. If the partner doesn't have an Azure AD tenant, an Azure AD account is
created for new users.
Can I invite guest users with consumer email accounts?
• Inviting guest users with consumer email accounts is supported in Power BI (including domains such as hotmail.com,etc.)
75. Azure B2B – Limitations
1) External B2B guests are limited to consumption of content only. External B2B guests can view apps,
dashboards, reports, export data and create email subscriptions for dashboards and reports. They can't access
workspaces or publish their own content.
2) This feature is not currently available with the Power BI mobile apps. On a mobile device, you can view Power
BI content shared using Azure AD B2B in a browser.
3) This feature is not currently available with the Power BI SharePoint Online report web part.
77. Administration Roles
Type of administrator Administrative scope Power BI scope
Office 365 Global Administrator Office 365
Can manage all aspects of a Power BI tenant and
other services.
Power BI Service Administrator Power BI tenant
Has full control over a Power BI tenant and its
administrative features (except for licensing).
Office 365 Billing Administrator Office 365
Can acquire Power BI licenses through Office 365
subscriptions.
Power BI Premium Capacity Administrator A single Premium capacity
Has full control over a premium capacity and its
administrative features.
Power BI Embedded Capacity Administrator A single Embedded capacity
Has full control over an embedded capacity and its
administrative features.
There are several roles related to Power BI administration, which are covered in the following table.
84. Automating and Managing PBI Programmatically
• PowerShell Cmdlets for Power BI
• https://www.powershellgallery.com/packages/Microsoft.PowerBI.PowerShell/1.2
• Power BI REST APIs
• https://docs.microsoft.com/en-us/rest/api/power-bi/
89. Helpful Links on Security
Whitepaper on Power BI Security
Documentation on Power BI Security
Whitepaper on “Supporting Your EU GDPR Compliance Journey With Microsoft Power BI
Security documentation available in the Service Trust Portal
Whitepaper on Distributing Power BI content to external guest users via Azure Active Directory B2B
91. Making Your Content Performant
Limit the number of visuals in dashboards and reports
Put custom visuals through their paces
Set and save filters in reports
Limit complicated measures and aggregates in data models
Perform load testing on your backend
93. Resources
• powerbiweekly.info - Great weekly PBI newsletter
• M language reference - Official Power Query M Reference
• DAX Studio - Useful open source tool for executing and analyzing DAX queries, founded by Darren Gosbell
• DAX Guide - Your go-to reference on the DAX language, created by the SQLBI team
• Power BI Visuals Reference - An exhaustive list (as of Sep. 2018) of all Power BI native & custom visuals,
placed into separate categories, again created by the SQLBI team
• Report Theme Generator - A handy report theme generator created by the Power BI Tips and Tricks team
• Power BI Theme templates - Detailed Power BI Theme templates for all the native visuals, created by David
Eldersveld
• Power BI from Rookie to Rock Star - Free, detailed eBook to get up and running with Power BI, written by Reza
Rad
• Power BI Architecture diagram - An informative Power BI Architecture diagram, created by Dustin Ryan
• Power BI Whitepapers - A list of official Power BI whitepapers, covering Security, Premium deployment,
Advanced Analytics and more
• Power BI Events - Interactive report displaying upcoming Power BI events worldwide, built by Matt Allington, Phil
Seamark and Reid Havens
• Guidance for Power BI
• Power BI Team Blog - Regular roundups of new updates and features, technical tips, and announcements
• Guy In a Cube YouTube Channel - Excellent resource available for you to learn about Power BI
• Power BI Documentation - The official Power BI documentation site is very detailed and updated on a regular
94. Resources
• Power BI Community Site - Many contributions including a community knowledgebase, forums for Q&A,
announcements, and several galleries such as the Themes Gallery, Data Stories Gallery, R Scripts Gallery,
Quick Measures Gallery, among others
• Power BI User Groups - Great place to hear presentations by Power BI experts, talk to other Power BI users,
and potentially even recruit new staff
• Power BI Community Bloggers
• Dax Formatter - The DAX Formatter tool improves the readability of DAX
• Lingo - Lingo is a web-based code editor for editing the linguistic schema in Power BI, for the purpose of
improving how the natural language Q&A functionality
• Power BI Helper - The Power BI Helper aids in removing unused data elements from a model, finding
dependencies, and in documenting a model
• Power BI Documenter - Power BI Documenter is a tool which auto-generates documentation from Power BI
Desktop, for the purpose of identifying and documenting data usage, visuals, and development practices
• Power Update - Power Update is a tool which moves scheduled refresh operations for datasets in Power BI
Desktop or Excel to a local machine
• Power BI Visual Planning - The Visual Planning tool allows for users to edit data directly in a report or
dashboard
• Power Pivot Utilities - Power Pivot Utilities is an add-in for Excel. It aids with documenting models, relationships,
calculated columns, unused columns, and memory usage via a set of VBA macros
• Turbo.net Power BI Desktop Application - The Turbo.net tools allow applications to run on any desktop. Their
95. Roadmap Features
Download the 2019 release wave 2 PDF (last updated September 23, 2019)
The Power Platform release plan (formerly release notes) for the 2019 release wave
2 describes all new features releasing from October 2019 through March 2020 for
PowerApps, Power BI, and Microsoft Flow. You can either browse the release
plan online or download the document as a PDF file.
Let us know your thoughts. Share your feedback on a community forum
for Dynamics 365 or users of the "Power" suite of products (Power BI, PowerApps,
Flow, and Stream). We’ll use your feedback to make improvements.
Note: (These release notes describe functionality that may not have been released yet. Delivery timelines and projected
functionality may change or may not ship (see Microsoft policy).)
96. Q & A ?
James Serra, Big Data Evangelist
Email me at: JamesSerra3@gmail.com
Follow me at: @JamesSerra
Link to me at: www.linkedin.com/in/JamesSerra
Visit my blog at: JamesSerra.com (where this slide deck is posted under the “Presentations” tab)