This document contains contact information for Marcos Freccia, a SQL Server DBA and Data Platform MVP at Zalando SE. It also lists some common challenges for BI professionals such as managing data in the cloud, ease of use and adoption, keeping data current, integration with existing environments, and managing BI systems. Finally, it provides an overview of Power BI including its key benefits, data sources, visualization capabilities, and integration with other Microsoft products.
Spark is fast becoming a critical part of Customer Solutions on Azure. Databricks on Microsoft Azure provides a first-class experience for building and running Spark applications. The Microsoft Azure CAT team engaged with many early adopter customers helping them build their solutions on Azure Databricks.
In this session, we begin by reviewing typical workload patterns, integration with other Azure services like Azure Storage, Azure Data Lake, IoT / Event Hubs, SQL DW, PowerBI etc. Most importantly, we will share real-world tips and learnings that you can take and apply in your Data Engineering / Data Science workloads
Cortana Analytics Suite is a fully managed big data and advanced analytics suite that transforms your data into intelligent action. It is comprised of data storage, information management, machine learning, and business intelligence software in a single convenient monthly subscription. This presentation will cover all the products involved, how they work together, and use cases.
The new Microsoft Azure SQL Data Warehouse (SQL DW) is an elastic data warehouse-as-a-service and is a Massively Parallel Processing (MPP) solution for "big data" with true enterprise class features. The SQL DW service is built for data warehouse workloads from a few hundred gigabytes to petabytes of data with truly unique features like disaggregated compute and storage allowing for customers to be able to utilize the service to match their needs. In this presentation, we take an in-depth look at implementing a SQL DW, elastic scale (grow, shrink, and pause), and hybrid data clouds with Hadoop integration via Polybase allowing for a true SQL experience across structured and unstructured data.
Big Data and Data Warehousing Together with Azure Synapse Analytics (SQLBits ...
SQLBits 2020 presentation on how you can build solutions based on the modern data warehouse pattern with Azure Synapse Spark and SQL including demos of Azure Synapse.
Building Modern Data Platform with Microsoft Azure
This document provides an overview of building a modern cloud analytics solution using Microsoft Azure. It discusses the role of analytics, a history of cloud computing, and a data warehouse modernization project. Key challenges covered include lack of notifications, logging, self-service BI, and integrating streaming data. The document proposes solutions to these challenges using Azure services like Data Factory, Kafka, Databricks, and SQL Data Warehouse. It also discusses alternative implementations using tools like Matillion ETL and Snowflake.
Tarun Poladi is a data engineer with over 7 years of experience in business intelligence and data engineering. He has extensive experience with Microsoft BI tools like SSIS, SSRS, and Power BI. He is proficient in SQL, Python, and R. Tarun has worked on various cloud platforms including AWS, Azure, and Databricks. His experience includes data modeling, ETL processes, building reports and dashboards, and developing analytics solutions. He holds certifications in Azure Data Engineering and Microsoft BI Reporting.
The document discusses Azure Data Factory V2 data flows. It will provide an introduction to Azure Data Factory, discuss data flows, and have attendees build a simple data flow to demonstrate how they work. The speaker will introduce Azure Data Factory and data flows, explain concepts like pipelines, linked services, and data flows, and guide a hands-on demo where attendees build a data flow to join customer data to postal district data to add matching postal towns.
Think of big data as all data, no matter what the volume, velocity, or variety. The simple truth is a traditional on-prem data warehouse will not handle big data. So what is Microsoft’s strategy for building a big data solution? And why is it best to have this solution in the cloud? That is what this presentation will cover. Be prepared to discover all the various Microsoft technologies and products from collecting data, transforming it, storing it, to visualizing it. My goal is to help you not only understand each product but understand how they all fit together, so you can be the hero who builds your companies big data solution.
This document discusses designing a modern data warehouse in Azure. It provides an overview of traditional vs. self-service data warehouses and their limitations. It also outlines challenges with current data warehouses around timeliness, flexibility, quality and findability. The document then discusses why organizations need a modern data warehouse based on criteria like customer experience, quality assurance and operational efficiency. It covers various approaches to ingesting, storing, preparing, modeling and serving data on Azure. Finally, it discusses architectures like the lambda architecture and common data models.
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.
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.
Spark is fast becoming a critical part of Customer Solutions on Azure. Databricks on Microsoft Azure provides a first-class experience for building and running Spark applications. The Microsoft Azure CAT team engaged with many early adopter customers helping them build their solutions on Azure Databricks.
In this session, we begin by reviewing typical workload patterns, integration with other Azure services like Azure Storage, Azure Data Lake, IoT / Event Hubs, SQL DW, PowerBI etc. Most importantly, we will share real-world tips and learnings that you can take and apply in your Data Engineering / Data Science workloads
Cortana Analytics Suite is a fully managed big data and advanced analytics suite that transforms your data into intelligent action. It is comprised of data storage, information management, machine learning, and business intelligence software in a single convenient monthly subscription. This presentation will cover all the products involved, how they work together, and use cases.
The new Microsoft Azure SQL Data Warehouse (SQL DW) is an elastic data warehouse-as-a-service and is a Massively Parallel Processing (MPP) solution for "big data" with true enterprise class features. The SQL DW service is built for data warehouse workloads from a few hundred gigabytes to petabytes of data with truly unique features like disaggregated compute and storage allowing for customers to be able to utilize the service to match their needs. In this presentation, we take an in-depth look at implementing a SQL DW, elastic scale (grow, shrink, and pause), and hybrid data clouds with Hadoop integration via Polybase allowing for a true SQL experience across structured and unstructured data.
Big Data and Data Warehousing Together with Azure Synapse Analytics (SQLBits ...Michael Rys
SQLBits 2020 presentation on how you can build solutions based on the modern data warehouse pattern with Azure Synapse Spark and SQL including demos of Azure Synapse.
Building Modern Data Platform with Microsoft AzureDmitry Anoshin
This document provides an overview of building a modern cloud analytics solution using Microsoft Azure. It discusses the role of analytics, a history of cloud computing, and a data warehouse modernization project. Key challenges covered include lack of notifications, logging, self-service BI, and integrating streaming data. The document proposes solutions to these challenges using Azure services like Data Factory, Kafka, Databricks, and SQL Data Warehouse. It also discusses alternative implementations using tools like Matillion ETL and Snowflake.
Tarun Poladi is a data engineer with over 7 years of experience in business intelligence and data engineering. He has extensive experience with Microsoft BI tools like SSIS, SSRS, and Power BI. He is proficient in SQL, Python, and R. Tarun has worked on various cloud platforms including AWS, Azure, and Databricks. His experience includes data modeling, ETL processes, building reports and dashboards, and developing analytics solutions. He holds certifications in Azure Data Engineering and Microsoft BI Reporting.
The document discusses Azure Data Factory V2 data flows. It will provide an introduction to Azure Data Factory, discuss data flows, and have attendees build a simple data flow to demonstrate how they work. The speaker will introduce Azure Data Factory and data flows, explain concepts like pipelines, linked services, and data flows, and guide a hands-on demo where attendees build a data flow to join customer data to postal district data to add matching postal towns.
Think of big data as all data, no matter what the volume, velocity, or variety. The simple truth is a traditional on-prem data warehouse will not handle big data. So what is Microsoft’s strategy for building a big data solution? And why is it best to have this solution in the cloud? That is what this presentation will cover. Be prepared to discover all the various Microsoft technologies and products from collecting data, transforming it, storing it, to visualizing it. My goal is to help you not only understand each product but understand how they all fit together, so you can be the hero who builds your companies big data solution.
Modern DW Architecture
- The document discusses modern data warehouse architectures using Azure cloud services like Azure Data Lake, Azure Databricks, and Azure Synapse. It covers storage options like ADLS Gen 1 and Gen 2 and data processing tools like Databricks and Synapse. It highlights how to optimize architectures for cost and performance using features like auto-scaling, shutdown, and lifecycle management policies. Finally, it provides a demo of a sample end-to-end data pipeline.
Streaming Real-time Data to Azure Data Lake Storage Gen 2Carole Gunst
Check out this presentation to learn the basics of using Attunity Replicate to stream real-time data to Azure Data Lake Storage Gen2 for analytics projects.
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 Databricks is a fast, easy, and collaborative Apache Spark-based analytics platform optimized for Azure. Designed in collaboration with the founders of Apache Spark, Azure Databricks combines the best of Databricks and Azure to help customers accelerate innovation with one-click set up, streamlined workflows, and an interactive workspace that enables collaboration between data scientists, data engineers, and business analysts. As an Azure service, customers automatically benefit from the native integration with other Azure services such as Power BI, SQL Data Warehouse, and Cosmos DB, as well as from enterprise-grade Azure security, including Active Directory integration, compliance, and enterprise-grade SLAs.
Einstieg in Machine Learning für DatenbankentwicklerSascha Dittmann
Hast Du Dich als Datenbankentwickler schon einmal gefragt, wie Du Deine Datenbank-Projekte mit Machine Learning Technologien erweitern kannst?
Wie kannst Du Dein vorhandenes Wissen wiederverwenden und was muss Du noch lernen?
In dieser Session stellt Sascha Dittmann verschiedene Lernpfade vor, um als Datenbankentwickler in die Welt des Data Science eintauchen zu können. Für seine Praxisbeispiele nutzt er dabei verschiedene Werkzeuge, wie beispielsweise die SQL Server ML Services, Azure Databricks und die Azure ML Services, um bekanntes Wissen mit Neuen zu vereinen.
Data warehouse con azure synapse analyticsEduardo Castro
Azure Synapse is the evolution of Azure SQL Data Warehouse, combining big data, data storage and data integration into a single service for end-to-end cloud scale analytics. It provides unlimited analytics with unparalleled speed to gain insights. Azure Synapse brings together enterprise data warehousing and big data analytics to give a unified experience with the advantages of both worlds.
Microsoft Power BI is a business analytics tool that allows users to access, analyze, and visualize data from various sources. It offers self-service BI capabilities that enable end users to explore and gain insights from data. Power BI provides live dashboards, natural language querying, and content packs for popular SaaS solutions. It integrates with Microsoft products and allows sharing and collaboration on reports and dashboards. Signing up for a free Power BI account is quick and only requires a work or school email address.
Formulating Power BI Enterprise StrategyTeo Lachev
The document outlines an agenda for a presentation on formulating a Power BI enterprise strategy. The agenda includes introductions, presentations on how Power BI empowers businesses and planning a data access strategy, a question and answer session, and information about an upcoming two-day Power BI workshop. It also provides background information about the presenters and describes various Power BI tools and capabilities for business users, data analysts, BI professionals, and developers.
This document provides an overview of James Serra's background and experience. He has over 30 years of experience in IT working on various BI and data warehouse projects. Currently, he is a Big Data Evangelist at Microsoft in NYC. He has held various roles including developer, DBA, architect, and consultant. He maintains a blog and has presented at various conferences. His certifications include MCSE: Data Platform, Business Intelligence and Azure solutions.
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.
Microsoft® SQL Server® 2012 is a cloud-ready information platform that will help organizations unlock breakthrough insights across the organization and quickly build solutions to extend data across on-premises and public cloud, backed by mission critical confidence.
Introduces the Microsoft’s Data Platform for on premise and cloud. Challenges businesses are facing with data and sources of data. Understand about Evolution of Database Systems in the modern world and what business are doing with their data and what their new needs are with respect to changing industry landscapes.
Dive into the Opportunities available for businesses and industry verticals: the ones which are identified already and the ones which are not explored yet.
Understand the Microsoft’s Cloud vision and what is Microsoft’s Azure platform is offering, for Infrastructure as a Service or Platform as a Service for you to build your own offerings.
Introduce and demo some of the Real World Scenarios/Case Studies where Businesses have used the Cloud/Azure for creating New and Innovative solutions to unlock these potentials.
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.
Presented @ Ottawa SQL Server Day
SQL Server 2014’s mission is to deliver for our customers mission critical performance for the most demanding database applications, hitting on all aspects of mission critical criteria from performance to security, scalability and high availability along with the mission critical support.
When it comes to business intelligence the mission is to deliver faster insights into any data big data, small data, all data and most importantly deliver BI in a consumable manner for business users through familiar tools.
So you got a handle on what Big Data is and how you can use it to find business value in your data. Now you need an understanding of the Microsoft products that can be used to create a Big Data solution. Microsoft has many pieces of the puzzle and in this presentation I will show how they fit together. How does Microsoft enhance and add value to Big Data? From collecting data, transforming it, storing it, to visualizing it, I will show you Microsoft’s solutions for every step of the way
Next Gen Analytics Going Beyond Data WarehouseDenodo
Watch this Fast Data Strategy session with speakers: Maria Thonn, Enterprise BI Development Manager, T-Mobile & Jonathan Wisgerhof, Smart Data Architect, Kadenza: https://goo.gl/J1qiLj
Your company, like most of your peers, is undoubtedly data-aware and data-driven. However, unless you embrace a modern architecture like data virtualization to deliver actionable insights from your enterprise data, the worth of your enterprise data will diminish to a fraction of its potential.
Attend this session to learn how data virtualization:
• Provides a common semantic layer for business intelligence (BI) and analytical applications
• Enables a more agile, flexible logical data warehouse
• Acts as a single virtual catalog for all enterprise data sources including data lakes
The document discusses how organizations can leverage cloud, data, and AI to gain competitive advantages. It notes that 80% of organizations now adopt cloud-first strategies, AI investment increased 300% in 2017, and data is expected to grow dramatically. The document promotes Microsoft's cloud-based analytics services for harnessing data at scale from various sources and types. It provides examples of how companies have used these services to improve customer experience, reduce costs, speed up insights, and gain operational efficiencies.
An initiative to healthcare analytics with office 365 and power bi spsparis2017Thuan Ng
Today data is a valuable asset in every organization, especially in healthcare industry. For example, with data about number of patients by location, hospital shall have the ability to offer more services to take care of them rapidly by building more medical stataion. Or with doctor's workload you know how to start hiring more human resources to balance the workload. With Office 365 - a digital workplace platform and PowerBI - a business intelligence and analytics on Microsoft Cloud service, let's have a look at how the digital transformation is initiated for healthcare industry.
SQL Server 2014 Faster Insights from Any Data -Level 300 Presentation from At...David J Rosenthal
This document provides an overview of SQL Server 2014 and related Microsoft business intelligence and analytics products. It discusses the following key capabilities:
1) Faster insights can be gained from any type and size of data using tools like Power BI, Power Query, and Polybase.
2) Self-service BI is enabled through Excel with features like PowerPivot and Power View that allow users to easily discover, visualize and share insights.
3) Hadoop and big data analytics are supported through HDInsight and capabilities like Polybase that allow SQL queries to span both relational and Hadoop data.
SPS ABIDJAN 2018 - Flow et PowerApps - Mohamed Amar ATHIEaOS Community
This document summarizes a presentation on accelerating business processes using Office 365, Flow, and Power Apps. It discusses how NETEXIO is a digital services company that provides consulting and training services focused on Microsoft technologies. It then provides an overview of the Microsoft business platform and demonstrates how Power Apps, Flow, and Common Data Service can be used to build applications and automate workflows across services and data sources.
The document discusses Microsoft Azure and its Internet of Things (IoT) capabilities. It describes Azure's global infrastructure and wide range of platform services. It then focuses on the key components of Azure IoT Suite, including preconfigured solutions, agent libraries to connect heterogeneous devices, Azure IoT Hub for connectivity, Stream Analytics for real-time event processing, Machine Learning for predictive analytics, Power BI for data visualization, and Logic Apps for workflow integration. The Azure IoT Suite provides a comprehensive solution to connect millions of devices, analyze data, and integrate with business systems.
SPS Dakar 2018 - Flow et Power Apps - Mohamed Amar AthieaOS Community
This document summarizes a SharePoint Saturday event in Dakar, Senegal on using Office 365, Flow, and Power Apps to accelerate business processes. It introduces the presenter and their company NETEXIO, which provides consulting and training services focused on Microsoft technologies. The agenda covers an introduction to the Microsoft Business Platform and demonstrations of Power Apps and Flow capabilities, including using them with SharePoint. Tips are provided on automating workflows and tasks across services with over 170 connectors.
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.
Best practices to deliver data analytics to the business with power biSatya Shyam K Jayanty
Get your data to life with Power BI visualization and insights!
With the changing landscape of Power BI features it is essential to get hold of configuration and deployment practices within your data platform that will ensure you are on-par with compliance & security practices. In this session we will overview from the basics leading into advanced tricks on this landscape:
How to deploy Power BI?
How to implement configuration parameters and package BI features as a part of Office 365 roll out in your organisation?
What are newest features and enhancements on this Power BI landscape?
How to manage on-premise vs on-cloud connectivity?
How can you help and support the Power BI community as well?
Having said that within the objectives of this session, cloud computing is another aspect of this technology made is possible to get data within few clicks and ticks to the end-user. Let us review how to manage & connect on-premise data to cloud capabilities that can offer full advantage of data catalogue capabilities by keeping data secure as per Information Governance standards. Not just with nuts and bolts, performance is another aspect that every Admin is keeping up, let us look into few settings on how to maximize performance to optimize access to data as required. Gain understanding and insight into number of tools that are available for your Business Intelligence needs. There will be a showcase of events to demonstrate where to begin and how to proceed in BI world.
- D BI A Consulting
consulting@dbia.uk
Similar to Why Power BI is the right tool for you (20)
Berlin Azure Global Bootcamp 2017 - Azure SQL DatabaseMarcos Freccia
This document provides an overview of Azure SQL Database service tiers including database size limits, performance metrics like DTUs and storage, and availability features like point-in-time restore and geo-replication. The service tiers range from Basic to Premium and include performance options from 5 to 4000 DTUs and database sizes from 2GB to 4TB. Higher tiers provide increased concurrency, storage, and restore windows along with active geo-replication. The document also includes links to external tools for calculating database performance and an Azure SQL management portal.
Codificando Night Week 2017 - Migrando seu banco de dados para a nuvemMarcos Freccia
O documento discute três métodos para migrar um banco de dados para o Azure SQL Database: 1) usando o assistente de migração no SQL Server 2016, 2) usando o BCP com o SQL Azure Migration Wizard, e 3) replicação transacional. Ele também discute o SQL DTU Calculator e fornece links para recursos adicionais.
This document provides an overview of In-Memory OLTP and other SQL Server 2016 features such as Stretch Database, Always Encrypted, Dynamic Data Masking, and Query Store. It discusses how In-Memory OLTP can significantly improve database application performance through its memory-optimized tables and natively compiled stored procedures. It also summarizes capabilities for several high availability and security features introduced in SQL Server 2016.
Construindo o dashboard perfeito com o Power BIMarcos Freccia
This document discusses building the perfect dashboard in Power BI. It introduces Power BI and describes how it has evolved from technical BI for IT users to self-service BI for end users. It outlines the different data sources that can be connected to Power BI like Excel, on-premises databases, and cloud services. It also lists the supported browsers and mobile devices for viewing Power BI reports and dashboards. Finally, it indicates there will be a demonstration of Power BI's features.
- Azure SQL Database provides cloud-based SQL databases with predictable performance and business continuity.
- It has multiple access methods including a portal, REST API, PowerShell, SQL tools, and programming languages.
- The database architecture has client, services, platform, and infrastructure layers to support scalability and isolation.
O documento discute a possibilidade de usar bancos de dados na nuvem da Microsoft Azure. Ele descreve os serviços de banco de dados relacional SQL Database como uma opção gerenciada que oferece escalabilidade, continuidade e funcionalidades para desenvolvedores sem a necessidade de um DBA. Ele também discute os níveis de serviço disponíveis e suas características de desempenho e preços.
Criando um baseline de seu ambiente completo utilizando ssis e ssrsMarcos Freccia
O documento discute como criar um baseline do ambiente SQL Server usando SSIS e SSRS para coletar métricas como uso de CPU, esperas, índices e discos. O autor apresenta as ferramentas que serão utilizadas - SQL Server, SSIS, SSRS e SSDT - e quais métricas serão coletadas, como overview das instâncias, latência de disco e uso de índices.
Criando um baseline de seu ambiente completo utilizando SSIS e SSRSMarcos Freccia
O documento discute como criar um baseline do ambiente SQL Server usando SSIS e SSRS para coletar métricas como uso de CPU, esperas, índices e discos. O autor apresenta as ferramentas que serão utilizadas - SQL Server, SSIS, SSRS e SSDT - e quais métricas serão coletadas, como overview das instâncias, latência de disco e uso de índices.
O documento apresenta uma palestra sobre como realizar um baseline de desempenho de um banco de dados SQL Server. Ele explica o que é um baseline, quais ferramentas serão utilizadas como SQL Server, SSIS e SSRS, e quais métricas serão coletadas como overview das instâncias, latência de disco, uso de CPU, wait stats e compressão.
Controlando cargas de trabalho com o resource governor no SQL Server 2014Marcos Freccia
O documento discute o Resource Governor do SQL Server 2014, que permite gerenciar cargas de trabalho isolando recursos como CPU e memória. Ele explica os componentes do Resource Governor, incluindo resource pools para alocar recursos a workloads, e funções classificadoras para direcionar conexões aos pools. A apresentação inclui uma demonstração do Resource Governor e responde perguntas sobre como limitar processos como backups e relatórios.
Criando um baseline de seu ambiente completo utilizando ssis e ssrsMarcos Freccia
Este documento discute como criar um baseline do ambiente SQL Server usando SSIS, SSRS e queries de diagnóstico do SQL Server para coletar informações como overview das instâncias, latência de disco, uso de CPU, wait stats, uso de índices e índices duplicados. Ele também lista as ferramentas que serão utilizadas: SQL Server, SSIS, SSRS, SSDT e queries de diagnóstico do Glen Berry.
24HOP - Português - Resource Governor no SQL Server 2014Marcos Freccia
O documento discute o Resource Governor do SQL Server, que permite gerenciar cargas de trabalho isolando recursos como CPU e memória em Resource Pools. O documento explica os componentes do Resource Governor, incluindo Resource Pools, Workload Groups e funções de classificação, e discute prós e contras de seu uso. Uma demonstração do Resource Governor é apresentada.
O documento descreve o programa Microsoft Student Partner e as vantagens de participar dele e de comunidades Microsoft. O MSP conecta estudantes apaixonados por tecnologia a oportunidades para desenvolver habilidades práticas e se tornar líderes de tecnologia. Participar dessas comunidades oferece benefícios como acesso a softwares e treinamentos.
O documento introduz os conceitos de Wait Types e Queues no SQL Server. Apresenta os tipos de esperas comuns como LCK_M, CXPACKET e WRITELOG e explica que esperas como essas ocorrem quando recursos como CPU, memória e E/S de disco estão em falta. Demonstra como monitorar esperas usando o sys.dm_os_wait_stats e o Performance Monitor.
24 Horas de PASS - File table, full text search e semantic searchMarcos Freccia
Este documento resume as novas funcionalidades de FileTable, Full Text Search e Semantic Search no SQL Server 2012. FileTable permite armazenar arquivos e documentos na base de dados. Full Text Search fornece pesquisas por variações de palavras e sinônimos. Semantic Search aumenta as possibilidades de pesquisa do Full Text Search realizando pesquisas estruturadas e não estruturadas.
Porque se certificar e mudanças nas provas de SQL Server 2012.Marcos Freccia
This document provides information about Microsoft SQL Server 2012 certifications and training. It outlines the new certification paths and names, as well as upgrade paths from previous certifications. It also describes the skills assessed in each certification and role convergence among database administrators and developers. Finally, it lists Microsoft Official Courseware, books from Microsoft Press for exam preparation, and additional online resources for learning about SQL Server 2012.
FileTable, Full Text Search e Semantic SearchMarcos Freccia
O documento discute as novas funcionalidades de armazenamento de arquivos, pesquisa de texto completo e semântica no SQL Server 2012, incluindo FileTable, melhorias na pesquisa de texto completo e a nova capacidade de pesquisa semântica.
FileTable, Full Text Search e Semantic SearchMarcos Freccia
O documento discute as novas funcionalidades de armazenamento de arquivos, pesquisa de texto completo e semântica no SQL Server 2012, incluindo FileTable, melhorias na pesquisa de texto completo e a nova capacidade de pesquisa semântica.
論文紹介:A Systematic Survey of Prompt Engineering on Vision-Language Foundation ...Toru Tamaki
Jindong Gu, Zhen Han, Shuo Chen, Ahmad Beirami, Bailan He, Gengyuan Zhang, Ruotong Liao, Yao Qin, Volker Tresp, Philip Torr "A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models" arXiv2023
https://arxiv.org/abs/2307.12980
Mitigating the Impact of State Management in Cloud Stream Processing SystemsScyllaDB
Stream processing is a crucial component of modern data infrastructure, but constructing an efficient and scalable stream processing system can be challenging. Decoupling compute and storage architecture has emerged as an effective solution to these challenges, but it can introduce high latency issues, especially when dealing with complex continuous queries that necessitate managing extra-large internal states.
In this talk, we focus on addressing the high latency issues associated with S3 storage in stream processing systems that employ a decoupled compute and storage architecture. We delve into the root causes of latency in this context and explore various techniques to minimize the impact of S3 latency on stream processing performance. Our proposed approach is to implement a tiered storage mechanism that leverages a blend of high-performance and low-cost storage tiers to reduce data movement between the compute and storage layers while maintaining efficient processing.
Throughout the talk, we will present experimental results that demonstrate the effectiveness of our approach in mitigating the impact of S3 latency on stream processing. By the end of the talk, attendees will have gained insights into how to optimize their stream processing systems for reduced latency and improved cost-efficiency.
Transcript: Details of description part II: Describing images in practice - T...BookNet Canada
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.
Quality Patents: Patents That Stand the Test of TimeAurora Consulting
Is your patent a vanity piece of paper for your office wall? Or is it a reliable, defendable, assertable, property right? The difference is often quality.
Is your patent simply a transactional cost and a large pile of legal bills for your startup? Or is it a leverageable asset worthy of attracting precious investment dollars, worth its cost in multiples of valuation? The difference is often quality.
Is your patent application only good enough to get through the examination process? Or has it been crafted to stand the tests of time and varied audiences if you later need to assert that document against an infringer, find yourself litigating with it in an Article 3 Court at the hands of a judge and jury, God forbid, end up having to defend its validity at the PTAB, or even needing to use it to block pirated imports at the International Trade Commission? The difference is often quality.
Quality will be our focus for a good chunk of the remainder of this season. What goes into a quality patent, and where possible, how do you get it without breaking the bank?
** Episode Overview **
In this first episode of our quality series, Kristen Hansen and the panel discuss:
⦿ What do we mean when we say patent quality?
⦿ Why is patent quality important?
⦿ How to balance quality and budget
⦿ The importance of searching, continuations, and draftsperson domain expertise
⦿ Very practical tips, tricks, examples, and Kristen’s Musts for drafting quality applications
https://www.aurorapatents.com/patently-strategic-podcast.html
Advanced Techniques for Cyber Security Analysis and Anomaly DetectionBert Blevins
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.
Sustainability requires ingenuity and stewardship. Did you know Pigging Solutions pigging systems help you achieve your sustainable manufacturing goals AND provide rapid return on investment.
How? Our systems recover over 99% of product in transfer piping. Recovering trapped product from transfer lines that would otherwise become flush-waste, means you can increase batch yields and eliminate flush waste. From raw materials to finished product, if you can pump it, we can pig it.
Measuring the Impact of Network Latency at TwitterScyllaDB
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.
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
The Rise of Supernetwork Data Intensive ComputingLarry Smarr
Invited Remote Lecture to SC21
The International Conference for High Performance Computing, Networking, Storage, and Analysis
St. Louis, Missouri
November 18, 2021
Best Practices for Effectively Running dbt in Airflow.pdfTatiana Al-Chueyr
As a popular open-source library for analytics engineering, dbt is often used in combination with Airflow. Orchestrating and executing dbt models as DAGs ensures an additional layer of control over tasks, observability, and provides a reliable, scalable environment to run dbt models.
This webinar will cover a step-by-step guide to Cosmos, an open source package from Astronomer that helps you easily run your dbt Core projects as Airflow DAGs and Task Groups, all with just a few lines of code. We’ll walk through:
- Standard ways of running dbt (and when to utilize other methods)
- How Cosmos can be used to run and visualize your dbt projects in Airflow
- Common challenges and how to address them, including performance, dependency conflicts, and more
- How running dbt projects in Airflow helps with cost optimization
Webinar given on 9 July 2024
Scaling Connections in PostgreSQL Postgres Bangalore(PGBLR) Meetup-2 - MydbopsMydbops
This presentation, delivered at the Postgres Bangalore (PGBLR) Meetup-2 on June 29th, 2024, dives deep into connection pooling for PostgreSQL databases. Aakash M, a PostgreSQL Tech Lead at Mydbops, explores the challenges of managing numerous connections and explains how connection pooling optimizes performance and resource utilization.
Key Takeaways:
* Understand why connection pooling is essential for high-traffic applications
* Explore various connection poolers available for PostgreSQL, including pgbouncer
* Learn the configuration options and functionalities of pgbouncer
* Discover best practices for monitoring and troubleshooting connection pooling setups
* Gain insights into real-world use cases and considerations for production environments
This presentation is ideal for:
* Database administrators (DBAs)
* Developers working with PostgreSQL
* DevOps engineers
* Anyone interested in optimizing PostgreSQL performance
Contact info@mydbops.com for PostgreSQL Managed, Consulting and Remote DBA Services
Details of description part II: Describing images in practice - Tech Forum 2024BookNet Canada
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 transcript: 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.
BT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdfNeo4j
Presented at Gartner Data & Analytics, London Maty 2024. BT Group has used the Neo4j Graph Database to enable impressive digital transformation programs over the last 6 years. By re-imagining their operational support systems to adopt self-serve and data lead principles they have substantially reduced the number of applications and complexity of their operations. The result has been a substantial reduction in risk and costs while improving time to value, innovation, and process automation. Join this session to hear their story, the lessons they learned along the way and how their future innovation plans include the exploration of uses of EKG + Generative AI.
Comparison Table of DiskWarrior Alternatives.pdfAndrey Yasko
To help you choose the best DiskWarrior alternative, we've compiled a comparison table summarizing the features, pros, cons, and pricing of six alternatives.
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.
TrustArc Webinar - 2024 Data Privacy Trends: A Mid-Year Check-InTrustArc
Six months into 2024, and it is clear the privacy ecosystem takes no days off!! Regulators continue to implement and enforce new regulations, businesses strive to meet requirements, and technology advances like AI have privacy professionals scratching their heads about managing risk.
What can we learn about the first six months of data privacy trends and events in 2024? How should this inform your privacy program management for the rest of the year?
Join TrustArc, Goodwin, and Snyk privacy experts as they discuss the changes we’ve seen in the first half of 2024 and gain insight into the concrete, actionable steps you can take to up-level your privacy program in the second half of the year.
This webinar will review:
- Key changes to privacy regulations in 2024
- Key themes in privacy and data governance in 2024
- How to maximize your privacy program in the second half of 2024
Implementations of Fused Deposition Modeling in real worldEmerging Tech
The presentation showcases the diverse real-world applications of Fused Deposition Modeling (FDM) across multiple industries:
1. **Manufacturing**: FDM is utilized in manufacturing for rapid prototyping, creating custom tools and fixtures, and producing functional end-use parts. Companies leverage its cost-effectiveness and flexibility to streamline production processes.
2. **Medical**: In the medical field, FDM is used to create patient-specific anatomical models, surgical guides, and prosthetics. Its ability to produce precise and biocompatible parts supports advancements in personalized healthcare solutions.
3. **Education**: FDM plays a crucial role in education by enabling students to learn about design and engineering through hands-on 3D printing projects. It promotes innovation and practical skill development in STEM disciplines.
4. **Science**: Researchers use FDM to prototype equipment for scientific experiments, build custom laboratory tools, and create models for visualization and testing purposes. It facilitates rapid iteration and customization in scientific endeavors.
5. **Automotive**: Automotive manufacturers employ FDM for prototyping vehicle components, tooling for assembly lines, and customized parts. It speeds up the design validation process and enhances efficiency in automotive engineering.
6. **Consumer Electronics**: FDM is utilized in consumer electronics for designing and prototyping product enclosures, casings, and internal components. It enables rapid iteration and customization to meet evolving consumer demands.
7. **Robotics**: Robotics engineers leverage FDM to prototype robot parts, create lightweight and durable components, and customize robot designs for specific applications. It supports innovation and optimization in robotic systems.
8. **Aerospace**: In aerospace, FDM is used to manufacture lightweight parts, complex geometries, and prototypes of aircraft components. It contributes to cost reduction, faster production cycles, and weight savings in aerospace engineering.
9. **Architecture**: Architects utilize FDM for creating detailed architectural models, prototypes of building components, and intricate designs. It aids in visualizing concepts, testing structural integrity, and communicating design ideas effectively.
Each industry example demonstrates how FDM enhances innovation, accelerates product development, and addresses specific challenges through advanced manufacturing capabilities.
Implementations of Fused Deposition Modeling in real world
Why Power BI is the right tool for you
1. Marcos Freccia
SQL Server DBA | Zalando SE
Data Platform MVP
@sqlfreccia
freccia@outlook.com
http://marcosfreccia.wordpress.com
2. Common challenges for BI IT Professionals
Managing data in the cloud Security, privacy and data refresh concerns for moving data
into the cloud
Ease of use and adoption Ease of adoption by business and IT orgs. Time spent on
creating reports and visualizations
Keeping data current Complexity of refreshing data from variety of data sources,
increased demand for real-time data
Integration with existing
environment
Cost and time involved in integration of solution into existing
environment. Extensibility of system
Management of BI systems Time spent on setup and management of BI systems. Ongoing
hardware acquisitions and maintenance to meet SLAs
Variety of data sources Complexity of connecting to on-premise and cloud (SaaS) data
sources
3. Feature
• Power BI is a cloud-based business analytics
service that enables
• fast and easy access to your data
• a live 360º view of your business
• data discovery and exploration
• insights from any device
• collaboration across your organization
• anyone to visualize and analyze data
Power BI
Experience your data. Any data, any way, anywhere
4. Key benefits and differentiators of Power BI for IT
Integrated with familiar Microsoft products, utilizes
infrastructure, scale & availability in Azure & O365
Fast deployment with a hybrid solution, ease of
maintenance and 99.9% uptime SLA
Live connection to your data sources,
on-premises and in the cloud
Keep your data secure, use groups to manage
access and sharing
Open APIs for integration and new scenarios, e.g.
real-time insights from devices
Content delivery (dashboards, reports, models) for
ease of consumption across your organizations
5. Power BI Overview
Data sources Power BI service
SaaS solutions
e.g. Marketo, Salesforce, GitHub,
Google analytics
On-premises data
e.g. Analysis Services
Custom content packs
Corporate data sources or external
data services
Azure services
Azure SQL, Stream Analytics…
Excel files
Workbook data / data models
Power BI Desktop files
Data from files, databases, Azure,
and other sources
Data refresh
Visualizations
Live dashboards
Content packs Sharing & collaborationNatural language query
Reports
Datasets01001
10101
6. Power BI Overview
Power BI REST APIsPower BI Desktop
Prepare Explore ShareReport
Data sources
SaaS solutions
e.g. Marketo, Salesforce, GitHub,
Google analytics
On-premises data
e.g. Analysis Services
Custom content packs
Corporate data sources or external
data services
Azure services
Azure SQL, Stream Analytics…
Excel files
Workbook data / data models
Power BI Desktop files
Data from files, databases, Azure,
and other sources
Power BI service
Data refresh
Visualizations
Live dashboards
Content packs Sharing & collaborationNatural language query
Reports
Datasets01001
10101
10. Marcos Freccia
SQL Server DBA | Zalando SE
Data Platform MVP
@sqlfreccia
freccia@outlook.com
http://marcosfreccia.wordpress.com
Editor's Notes
Purpose of this presentation: Describe the capabilities and value of Power BI for the IT Professional
Target audience: Business Intelligence IT Professionals
Key message:
There are common challenges that IT professionals are faced with when implementing a new BI solution
Talking points:
Management of BI systems
Variety of data sources
Managing data in the cloud
Integration with existing environment
Keeping data current
Ease of use and adoption
Key message:
Power BI is a business analytics service. With Power BI you can now see all of your data through a single pane of glass. Live Power BI dashboards and reports show visualizations and KPIs from data residing both on-premises and in the cloud, providing a consolidated view across your business regardless of where your data lives.
Talking points:
This is Power BI in a nutshell and the overall benefits to your business. We will look at what this means for the IT Pro and the key benefits for IT on the next slide
Key message:
There are several capabilities that differentiate Power BI from other offerings in the market.
Talking points:
What that means for the IT Pro – key benefits:
- Power BI is a cloud service which allows for faster time to solution and ease of management.
- Connect live to your on-premises data (e.g. SSAS), no need to move your data to the cloud.
- Schedule data refresh for on-premises data sources
- Connect live to your cloud-based data, e.g. Azure based data services, Dynamics CRM or other SaaS applications
- Secure your data and manage permissions
- Open APIs for custom development
- Create and publish customized content packs of packaged data models, reports and dashboards for users to easily consume
Let’s walk through an overview of how Power BI works.
1. The Power BI service, sometimes referred to as powerbi.com, is what allows you to:
Create beautiful visualizations to tell compelling data stories
Build rich, live dashboards that turn BI into business insights
Create reports & datasets from which you can create visualizations and dashboards
Enjoy the benefits of up-to-date data with real-time, automatic and scheduled refreshes
Share dashboards easily with other people in your organization
Ask questions of data in plain English with Natural Language Query
Stay connected to your data all the time with mobile applications
2. Power BI connects to a variety of data sources. These range across both cloud and on-premises sources, and include:
A variety of popular SaaS solutions, such as Marketo, Salesforce, GitHub, Dynamics CRM, Zendesk, and several others
On-premises databases – Power BI offers live connectivity to SQL Server Analysis Services, which we’ll cover in more detail later. And using a gateway solution, Power BI can connect to other database solutions.
Custom data sources – Power BI can connect to any data source you need it to thanks to its extensibility via REST APIs. This includes both proprietary corporate data sources, as well as external data services. For example, if you are a SaaS solution provider, you can work with Microsoft to connect your solution to Power BI.
Other Azure services – Power BI integrates tightly with SQL Azure and Stream Analytics, and will be integrating closely with more Azure services over time
Power BI Desktop and Excel files – Excel workbooks can be directly connected to Power BI.com, or may be used with Power BI Desktop. Power BI Desktop is a companion application to the Power BI service – it is a desktop tool that supports data analysis and reporting. Like Excel files, Power BI Desktop files may be uploaded to the Power BI service.
There is more….
3. Power BI Desktop is a visual data exploration tool that enables you to analyze data and create stunning reports. With Power BI Desktop, you are able to:
Acquire and prepare data using extensive query capabilities
Manipulation and consolidation of multiple data sources is performed in Power BI Desktop – this enables Power BI service users to use data from multiple sources in a single report
Establish data structure, then transform and analyze data
Visualize and explore your data in new ways through a freeform drag-and-drop canvas
Author reports with a broad range of modern data visualizations
Publish beautiful, interactive reports directly to powerbi.com
4. Finally, the Power BI REST API library allows you to customize nearly every aspect of Power BI, including connecting to custom data sources, enabling real-time data streaming from your data source to Power BI, and integrating other applications with Power BI
There is more….
3. Power BI Desktop is a visual data exploration tool that enables you to analyze data and create stunning reports. With Power BI Desktop, you are able to:
Acquire and prepare data using extensive query capabilities
Manipulation and consolidation of multiple data sources is performed in Power BI Desktop – this enables Power BI service users to use data from multiple sources in a single report
Establish data structure, then transform and analyze data
Visualize and explore your data in new ways through a freeform drag-and-drop canvas
Author reports with a broad range of modern data visualizations
Publish beautiful, interactive reports directly to powerbi.com
4. Finally, the Power BI REST API library allows you to customize nearly every aspect of Power BI, including connecting to custom data sources, enabling real-time data streaming from your data source to Power BI, and integrating other applications with Power BI
There is more….
3. Power BI Desktop is a visual data exploration tool that enables you to analyze data and create stunning reports. With Power BI Desktop, you are able to:
Acquire and prepare data using extensive query capabilities
Manipulation and consolidation of multiple data sources is performed in Power BI Desktop – this enables Power BI service users to use data from multiple sources in a single report
Establish data structure, then transform and analyze data
Visualize and explore your data in new ways through a freeform drag-and-drop canvas
Author reports with a broad range of modern data visualizations
Publish beautiful, interactive reports directly to powerbi.com
4. Finally, the Power BI REST API library allows you to customize nearly every aspect of Power BI, including connecting to custom data sources, enabling real-time data streaming from your data source to Power BI, and integrating other applications with Power BI
There is more….
3. Power BI Desktop is a visual data exploration tool that enables you to analyze data and create stunning reports. With Power BI Desktop, you are able to:
Acquire and prepare data using extensive query capabilities
Manipulation and consolidation of multiple data sources is performed in Power BI Desktop – this enables Power BI service users to use data from multiple sources in a single report
Establish data structure, then transform and analyze data
Visualize and explore your data in new ways through a freeform drag-and-drop canvas
Author reports with a broad range of modern data visualizations
Publish beautiful, interactive reports directly to powerbi.com
4. Finally, the Power BI REST API library allows you to customize nearly every aspect of Power BI, including connecting to custom data sources, enabling real-time data streaming from your data source to Power BI, and integrating other applications with Power BI
Purpose of this presentation: Describe the capabilities and value of Power BI for the IT Professional
Target audience: Business Intelligence IT Professionals
Key message:
Power BI is a Software as a Service (SaaS) BI solution
Talking points:Power BI enables fast deployment with guaranteed SLAs for uptime
Power BI scales to your demands, without having to worry about new hardware acquisitions and maintenance
The service is updated for you
Key message:
Power BI has built-in connectivity to your data sources
Talking points:
ETL can be expensive and time consuming: connectors, development extraction and transformation processes, scheduling tools, data staging.
Power BI makes it easier and faster to see results with built-in connectivity.
Azure data services include HDInsight, Azure SQL Server DW, Azure Stream Analytics, Azure Machine Learning
Key message:
With Power BI you can create custom content packs for your organization
Talking points:
If you need to make data available across your organization, a custom connector can do just that in an efficient way. For example, your finance team can provide access to financial data to the appropriate users across the organization.
In addition to connecting your data source, Power BI REST APIs enable you to create and publish custom content packs, which consist of pre-built dashboards, reports, data models, embedded queries, and metadata
Content packs make it easier and faster for users to explore the data you’re providing – they get dashboards and reports that they can use immediately to drive insights
Key message:
Power BI comes with content packs for the SaaS solutions that you already use
Talking points:
It’s easy to discover business insights quickly by connecting all of the SaaS data sources you already use to Power BI
Power BI has “connector” functionality that establishes a direct connection to a variety of popular SaaS solutions
It’s more than just a connection though – Power BI has a “content pack” for each SaaS solution
These “content packs” consist of pre-configured dashboards, reports, data models, embedded queries and metadata
That means users don’t have to set anything up from scratch – you connect your data and instantly have a beautiful dashboard ready for you to customize to your needs
Thanks to the direct connection from Power BI, data processing is optimized, so you can explore at a rapid pace
And data is updated automatically each day (or on-demand if you need it) – no need for special refresh configuration
Key message:
Power BI works directly and seamlessly with other Azure Data Services
Talking points:
Power BI integrates with select Azure services, enabling you to build seamless end-to-end data solutions
For example, Power BI integrates with SQL Database and SQL Database Auditing, making it easier to surface data from those solutions
Power BI also directly integrates with Azure Stream Analytics - real-time data from Stream Analytics can be pushed directly into Power BI for real-time visibility via dashboards
For example, if you have IoT devices like sensors and factory-floor machines connected to Stream Analytics, that data can be surfaced live to Power BI dashboards, so operations managers can get real-time information on the status of plant operations
Integration with additional Azure services is planned, which will light up other scenarios
Key message:
Connect live to your existing on-premises data, such as SQL Server Analysis Services. No need to move your data to the cloud
Talking points:
Power BI lets you establish live connectivity with on-premises SQL Server Analysis Services tabular models
Simply configure the connector to work with your existing SSAS solution
With this connector, there is no need to move any data to the cloud – your data stays in SSAS on-premises, even while it is viewed in Power BI
The connection is live – meaning that when users view and explore dashboards, Power BI interactively queries the on-premises cube to fetch the data right then
This enables efficient data exploration thanks to optimized query performance
You can create reports with SSAS data on powerbi.com, even while data remains on-premises
Your existing, role-based SSAS permissions still apply – user access to SSAS data via Power BI is controlled the same way
The connection to SSAS is secured via Azure Service Bus SSL encryption
Key message:
You can upload Excel and Power BI Desktop files from your computer, or connect to them on OneDrive for Business or OneDrive Personal
Talking points:
Excel files or Power BI Desktop files can be published directly to Power BI with one click
These files may content datasets, data models and reports that Power BI users can explore immediately
Take advantage of OneDrive for Business – Excel workbooks stored in OneDrive for Business can be connected to Power BI
Any time the file is updated, data is refreshed on the Power BI service
And as you’ll discover in a couple slides, Power BI Desktop connects to a broad variety of data sources, extending Power BI to an even greater range of data
When you upload your files, the data gets uploaded to the cloud as well
Key message:
You can keep your data where it is
Talking points:
Power BI connects to data sources on your behalf. The connections require valid accounts that meet the requirements of the specific data source.
In order for Power BI to refresh your dataset, you will need to provide credentials for that particular data source. The type of credentials required depend on the data source your dataset is connecting to. You will be required to enter credentials the first time you use Schedule Refresh or Refresh Now. Once entered, those credentials will be retained as part of refresh settings for that dataset. If you get data from another workbook that uses the same data source in a dataset you've already configured authentication credentials for, you won't need to configure credentials again for your new dataset.
Key message:
Power BI REST APIs allow developers to extend Power BI to deliver exactly what an organization needs
Talking points:
Here are some of the important uses of APIs:
Push data directly from another application into Power BI
Push not only static data, but also real-time data, into Power BI
Just as Azure Stream Analytics can push data directly into Power BI, you can enable other applications to do the same thing for real time visibility
This enables users to manage and monitor real-time content
You can add Power BI to existing application workflows
As discussed earlier, you can create custom connectors and content packs for unique data sources that Power BI doesn’t support as a default
Manage authentication using Azure Active Directory integration
Key message:
Power BI has built-in data refresh capabilities
Talking points:
Connecting to SQL Server Analysis Services Tabular models by using the Power BI Analysis Services connector creates a live connection to model data, so there's no need to schedule refresh. Model data you see in Power BI is automatically refreshed about every ten minutes.
Live connectivity to on-premises data
Power BI supports live query over enterprise data sources such as SQL Server Analysis Services (Tabular models)
Analysis Services with auto-refresh every 10 minutes
Azure SQL Database with auto-refresh every 15 minutes
Key message:
The Power BI Personal Gateway empowers business analysts to securely and easily keep their data in sync with on-premises data
Talking points:
With the Power BI Desktop or Excel, business analysts can import data from a wide range of on-premises sources and publish it to Power BI. The Personal Gateway keeps this imported data in sync so that reports and dashboards in Power BI are always up-to-date.
The power of the Personal Gateway is in its ease of use. Once the Personal Gateway is running on the user’s computer, data refresh is seamless. The Personal Gateway helps analysts to quickly get started and refresh content in Power BI without having to depend on IT – this is a tremendous productivity gain offering self-service in its truest sense!
Thanks for taking the time to walk through the main capabilities of Power BI.
To get started, please visit powerbi.com.