Afternoons with Azure - Power BI and Azure Analysis Services

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.

Say goodbye to data silos! Analytics in a Day will simplify and accelerate your journey towards the modern data warehouse. Join CCG and Microsoft for a half-day virtual workshop, hosted by James McAuliffe.

James Serra is a Big Data Evangelist at Microsoft with over 28 years of experience in IT. He has worked in various roles including as a desktop/web/database developer, DBA, BI and DW architect and developer, MDM architect, and PDW developer. Serra is an author, blogger, and presenter who shares his expertise in business intelligence and big data. In his presentation, he provides an overview of the Microsoft BI stack, career opportunities in BI, and lessons from his own transition from DBA to a BI focus.

4 slide overview of Microsoft BI & analytics architecture and how it would work with your current environment. See the PointDrive for more information - https://ptdrv.linkedin.com/5fj1ey0

Big Data Analytics in the Cloud using Microsoft Azure services was discussed. Key points included: 1) Azure provides tools for collecting, processing, analyzing and visualizing big data including Azure Data Lake, HDInsight, Data Factory, Machine Learning, and Power BI. These services can be used to build solutions for common big data use cases and architectures. 2) U-SQL is a language for preparing, transforming and analyzing data that allows users to focus on the what rather than the how of problems. It uses SQL and C# and can operate on structured and unstructured data. 3) Visual Studio provides an integrated environment for authoring, debugging, and monitoring U-SQL scripts and jobs. This allows

This document summarizes a presentation given by Alberto Diaz Martin on Azure Databricks for data scientists. The presentation covered how Databricks can be used for infrastructure management, data exploration and visualization at scale, reducing time to value through model iterations and integrating various ML tools. It also discussed challenges for data scientists and how Databricks addresses them through features like notebooks, frameworks, and optimized infrastructure for deep learning. Demo sections showed EDA, ML pipelines, model export, and deep learning modeling capabilities in Databricks.

DocumentDB is a powerful NoSQL solution. It provides elastic scale, high performance, global distribution, a flexible data model, and is fully managed. If you are looking for a scaled OLTP solution that is too much for SQL Server to handle (i.e. millions of transactions per second) and/or will be using JSON documents, DocumentDB is the answer.

This document provides an overview of Power BI and its capabilities. It defines Power BI as a self-service business intelligence tool comprising Excel, Power Query, Power Pivot, Power View, Power Map, and Power BI Desktop for data preparation, analysis, and visualization. It outlines how these tools integrate to allow users to clean, model, and analyze data before publishing interactive reports and dashboards to the Power BI service for sharing and consumption on the web and mobile devices. The document also highlights new features like quick insights, integration with other Microsoft products, and resources for learning more.

Every data has meaning, but we had limitation to use data through big long running process Extraction, Transformation and Representation, but now Power BI solves your problem to kick start having Data extraction in Power Query, Data Modelling and Transformation in Power Pivot and reach data representation using power view and power map on demand any nearby device on your fingertips. Learn how to create Power BI Dashboard from scratch.

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!

As a follow-on to the presentation "Building an Effective Data Warehouse Architecture", this presentation will explain exactly what Big Data is and its benefits, including use cases. We will discuss how Hadoop, the cloud and massively parallel processing (MPP) is changing the way data warehouses are being built. We will talk about hybrid architectures that combine on-premise data with data in the cloud as well as relational data and non-relational (unstructured) data. We will look at the benefits of MPP over SMP and how to integrate data from Internet of Things (IoT) devices. You will learn what a modern data warehouse should look like and how the role of a Data Lake and Hadoop fit in. In the end you will have guidance on the best solution for your data warehouse going forward.

Say goodbye to data silos! Analytics in a Day will simplify and accelerate your journey towards the modern data warehouse. Join CCG and Microsoft for a half-day virtual workshop, hosted by James McAuliffe.

Say goodbye to data silos! Analytics in a Day will simplify and accelerate your journey towards the modern data warehouse. Join CCG and Microsoft for a two-day virtual workshop, hosted by James McAuliffe.

The difference between a Data Lake and a Data Vault is the difference between a stethoscope and a radar.

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 and agenda for a workshop on getting started with Tableau. It introduces the presenter and their experience. It then covers the basics of data visualization, the history and role of analytics. An overview of Tableau is provided, including the product offerings and how the different Tableau objects like data sources, dimensions, measures, worksheets and dashboards work. Real world examples are shown and learning resources are discussed. The document concludes with a planned hands-on Tableau desktop lab session to have participants connect data and create their own dashboards and workbooks.

This document discusses Azure Analysis Services and how it can improve business intelligence (BI) in the cloud. It begins with an introduction of the speaker and an agenda for the presentation. It then provides definitions of Azure Analysis Services, BI, and their key components. The rest of the document focuses on the advantages of Azure Analysis Services compared to on-premises SSAS and other cloud BI services like Power BI, including easier setup and management, scalability, and cost benefits. It demonstrates features of Azure Analysis Services and how it can close gaps between self-service and enterprise BI needs.

Speaker: Frederik Vandeputte Download SQL Server 2012: http://www.microsoft.com/sqlserver/en/us/get-sql-server/try-it.aspx

Business intelligence like never before.... Power BI is a suite of business analytics tools that deliver insights throughout your organization. Connect to hundreds of data sources, simplify data prep, and drive ad hoc analysis. Produce beautiful reports, then publish them for your organization to consume on the web and across mobile devices. Everyone can create personalized dashboards with a unique, 360-degree view of their business. And scale across the enterprise, with governance and security built-in.

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.

In this presentation we summarize BI improvements in SQL Server 2008 R2 and PowerPivot. Regards, Dr. Eduardo Castro http://ecastrom.blogspot.com http://comunidadwindows.org

This document provides an overview and agenda for a presentation on business intelligence and big data technologies. The presentation covers tools such as Excel, PowerPivot, Power View, Reporting Services, PerformancePoint, and HDInsight for working with data from sources like SQL Server, Oracle, DB2, and Hadoop. It discusses self-service BI capabilities and how these tools work with the Microsoft BI stack and platform.

SAP Business Objects Architecture SAP Business Objects Universe Design SAP Business Objects 12 Reporting Tools SAP Business Objects Web intelligence Reporting Strength and limitations SAP Business Objects Crystal Reports Architecture, Strength and limitations SAP Business Objects Issues, performance Tuning. SAP Business Objects Xcelcius Architecture, strength and weakness. SAP Business Objects Universe Design Issues, performance tunning SAP Business Objects SAP source Vs Non SAP source SAP Business Objects Security SAP Business Objects Application security lifecycle SAP Business Objects Data Integrator, MDX, Cube

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.

NLS Quest - BI Suite is a complete business intelligence solution that facilitates data integration, reporting, analysis, and dashboard setup through easy access to an organization's electronically stored data extracted in real-time. It provides flexible, reliable reporting and extractions through a drag-and-drop interface with high-level security and no modifications to the host database. The main components include N-Bridge for data extraction, reporting and dashboard designers, a data analysis engine, and a report server.

Power BI provides self-service business intelligence (BI) tools for data analysis and visualization. It includes Power Query for data discovery and transformation, Power Pivot for data modeling, Power View for interactive data visualization, and Power Map for geographical data visualization. These tools can be used with Excel, SharePoint, and mobile devices to enable users to analyze, visualize, and share insights from data. Power BI also offers collaboration features through an online dashboard and app.

Power BI for Office 365 provides many new features enabling everyone new scenarios of putting in place business intelligence with Excel and Office 365. Discover, access and manipulate data with just a few clicks, shape and transform data. Analyze and create stunning interactive visualizations that uncover hidden insights to share and collaborate from anywhere, and soon on any device.

The document discusses new features in SQL Server Analysis Services (SSAS) "Denali" release including a new unified BI Semantic Model that brings together relational and multidimensional data models. It provides more flexibility and choices in building BI applications using either tabular or multidimensional approaches. Denali also improves performance and scalability with new in-memory and compression technologies. New tools are introduced for data modeling and management.

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

Has your company been building data warehouses for years using SQL Server? And are you now tasked with creating or moving your data warehouse to the cloud and modernizing it to support “Big Data”? What technologies and tools should use? That is what this presentation will help you answer. First we will cover what questions to ask concerning data (type, size, frequency), reporting, performance needs, on-prem vs cloud, staff technology skills, OSS requirements, cost, and MDM needs. Then we will show you common big data architecture solutions and help you to answer questions such as: Where do I store the data? Should I use a data lake? Do I still need a cube? What about Hadoop/NoSQL? Do I need the power of MPP? Should I build a "logical data warehouse"? What is this lambda architecture? Can I use Hadoop for my DW? Finally, we’ll show some architectures of real-world customer big data solutions. Come to this session to get started down the path to making the proper technology choices in moving to the cloud.

During the bake-off (NYC Enterprise Collaboration Meetup in the NYC Microsoft Office) between Power BI and QlikView, Gal Vekselman presented the Power BI tool and those are his slides.

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

The document discusses the Common Data Model (CDM) and how to use it. It describes CDM as an open-sourced definition of standard business entities that provides a common data model that can be shared across applications. It outlines how CDM allows building applications faster by composing analytics, user experiences, and automation using integrated Microsoft services. It also discusses moving data into CDM using the Data Integrator and building applications with CDM using PowerApps, the CDS SDK, Microsoft Flow, and Power BI.

This document introduces Microsoft Power BI and its tools for data visualization and reporting. It discusses how Power BI can support large data volumes, automated web reporting, and increased efficiency. Power BI tools like Power Pivot, Power View and Excel enable ad-hoc analysis, dashboards, and standard report automation from data marts and beyond Excel limits. Power BI solutions can be deployed on SharePoint for collaboration and on mobile devices.

The Common BI/Big Data Challenges and Solutions presented by seasoned experts, Andriy Zabavskyy (BI Architect) and Serhiy Haziyev (Director of Software Architecture). This was a complimentary workshop where attendees had the opportunity to learn, network and share knowledge during the lunch and education session.

Overview SAP BO components, SAP BO Architecture, 16 reporting flavour of SAP BO, More details: (blog: http://sandyclassic.wordpress.com , linkedin: https://www.linkedin.com/in/sandepsharma )

This document provides an overview and introduction to Power View, Microsoft's ad hoc reporting and data visualization tool. It discusses how Power View allows for analysis and exploration of data in a browser using Silverlight. The document outlines how to access and import data into Power View reports from various sources like SQL Server, Excel, and SharePoint lists. It also demonstrates Power View's abilities like filtering, advanced visualizations, and properties for customizing reports. Finally, it discusses Power View's relationship to SharePoint and potential future directions.

Join CCG and Microsoft for a hands-on demonstration of Azure’s machine learning capabilities. During the workshop, we will: - Hold a Machine Learning 101 session to explain what machine learning is and how it fits in the analytics landscape - Demonstrate Azure Databricks’ capabilities for building custom machine learning models - Take a tour of the Azure Machine Learning’s capabilities for MLOps, Automated Machine Learning, and code-free Machine Learning By the end of the workshop, you’ll have the tools you need to begin your own journey to AI.

The document outlines several upcoming workshops hosted by CCG, an analytics consulting firm, including: - An Analytics in a Day workshop focusing on Synapse on March 16th and April 20th. - An Introduction to Machine Learning workshop on March 23rd. - A Data Modernization workshop on March 30th. - A Data Governance workshop with CCG and Profisee on May 4th focusing on leveraging MDM within data governance. More details and registration information can be found on ccganalytics.com/events. The document encourages following CCG on LinkedIn for event updates.

Join us for this session where Doug Laney will share insights from his best-selling book, Infonomics, about how organizations can actually treat information as an enterprise asset.

Say goodbye to data silos! Analytics in a Day will simplify and accelerate your journey towards the modern data warehouse. Join CCG and Microsoft for a half-day virtual workshop, hosted by James McAuliffe.

You had a strategy. You were executing it. You were then side-swiped by COVID, spending countless cycles blocking and tackling. It is now time to step back onto your path. CCG is holding a workshop to help you update your roadmap and get your team back on track and review how Microsoft Azure Solutions can be leveraged to build a strong foundation for governed data insights.

Join CCG and Microsoft for a hands-on demonstration of Azure’s machine learning capabilities. During the workshop, we will: - Hold a Machine Learning 101 session to explain what machine learning is and how it fits in the analytics landscape - Demonstrate Azure Databricks’ capabilities for building custom machine learning models - Take a tour of the Azure Machine Learning’s capabilities for MLOps, Automated Machine Learning, and code-free Machine Learning By the end of the workshop, you’ll have the tools you need to begin your own journey to AI.

Join Brian Beesley, Director of Data Science, for an executive-level tour of AI capabilities. Get an inside peek at how others have used AI, and learn how you can harness the power of AI to transform your business.

The CCGDG framework is focused on the following 5 key competencies. These 5 competencies were identified as areas within DG that have the biggest ROI for you, our customer. The pandemic has uncovered many challenges related to governance, therefore the backbone of this model is the emphasis on risk mitigation. 1. Program Management 2. Data Quality 3. Data Architecture 4. Metadata Management 5. Privacy

Join CCG and Microsoft for a virtual workshop, hosted by Senior BI Architect, Martin Rivera, taking you through a journey of advanced data visualization and storytelling.

In early 2019, Microsoft created the AZ-900 Microsoft Azure Fundamentals certification. This is a certification for all individuals, IT or non IT background, who want to further their careers and learn how to navigate the Azure cloud platform. Learn about AZ-900 exam concepts and how to prepare and pass the exam

This document provides an overview and agenda for a Power BI Advanced training course. The course objectives are outlined, which include understanding data modeling concepts, calculated columns and measures, and evaluation contexts in DAX. The agenda lists the modules to be covered, including data modeling best practices, modeling scenarios, and DAX. Housekeeping items are provided, instructing participants to send questions to Sami and mute their lines. It is noted the session will be recorded.