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Attention all SQL Pros, DAX is not just for writing Excel-based formulas! Get hands-on learning and expert advice on how to use the vast capabilities of the DAX language to solve common data modeling challenges. Beginning DAX with Power BI teaches key concepts such as mapping techniques from SQL to DAX, filtering, grouping, joining, pivoting, and using temporary tables, all aimed at the SQL professional. Join author Philip Seamark as he guides you on a journey through typical business data transformation scenarios and challenges, and teaches you, step-by-step, how to resolve challenges using DAX. Tips, tricks, and shortcuts are included and explained, along with examples of the SQL equivalent, in order to accelerate learning. Examples in the book range from beginner to advanced, with plenty of detailed explanation when walking through each scenario. What You’ll Learn: Turbocharge your Power BI model by adding advanced DAX programming techniques Know when to use calculated measures versus calculated columns Generate new tables on the fly from existing data Optimize, monitor, and tune Power BI to improve performance of your models Discover new ideas, tricks, and time-saving techniques for better models This book is for business intelligence developers, business analysts, or any SQL user who wants to use Power BI as a reporting tool. A solid understanding of SQL is recommended, as examples throughout the book include the DAX equivalents to SQL problem/solution scenarios. Philip Seamark,a Senior BI architect with Trade Me and a Microsoft Data Platform MVP with more than 25 years of commercial experience delivering business applications across multiple technologies. He is an experienced database and BI professional with a deep understanding of the Microsoft stack and extensive knowledge of data warehouse (DW) methodologies and enterprise data modeling. Philip writes for the Power BI community site, and is a speaker at many industry events, Microsoft Ignite, Data Insights, Power BI User Groups, SQL Saturdays, and more.

Business --- Data processing. --- Computer science. --- Big data. --- Computer Science. --- Microsoft and .NET. --- Big Data/Analytics. --- Electronic data processing --- Microsoft software. --- Microsoft .NET Framework. --- Computer software --- Data sets, Large --- Large data sets --- Data sets

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Learn the intricate workings of DAX and the mechanics that are necessary to solve advanced Power BI challenges. This book is all about DAX (Data Analysis Expressions), the formula language used in Power BI—Microsoft’s leading self-service business intelligence application—and covers other products such as PowerPivot and SQL Server Analysis Services Tabular. You will learn how to leverage the advanced applications of DAX to solve complex tasks. Often a task seems complex due to a lack of understanding, or a misunderstanding of core principles, and how certain components interact with each other. The authors of this book use solutions and examples to teach you how to solve complex problems. They explain the intricate workings of important concepts such as Filter Context and Context Transition. You will learn how Power BI, through combining DAX building blocks (such as measures, table filtering, and data lineage), can yield extraordinary analytical power. Throughout Pro Dax with Power BI these building blocks are used to create and compose solutions for advanced DAX problems, so you can independently build solutions to your own complex problems, and gain valuable insight from your data. What You Will Learn Understand the intricate workings of DAX to solve advanced problems Deconstruct problems into manageable parts in order to create your own recipes Apply predefined solutions for addressing problems, and link back step-by-step to the mechanics of DAX, to know the foundation of this powerful query language Get fully on board with DAX, a new and evolving language, by learning best practices This book is for anyone who wants to use Power BI to build advanced and complex models. Some experience writing DAX is helpful, but not essential if you have experience with other data query languages such as MDX or SQL. Philip Seamark is an experienced data warehouse (DW) and business intelligence (BI) consultant with a deep understanding of the Microsoft stack and extensive knowledge of DW methodologies and enterprise data modeling. He has more than 25 years of commercial experience delivering business applications across a broad range of technologies with expertise in project management, dimensional modeling, performance tuning, ETL design, development and optimization, and report and dashboard design, installation, and administration. Phil received a Microsoft Data Platform MVP award for his contributions to the Power BI community site, and was named a top 10 influencer in the Power BI space. He speaks at data, analytic, and reporting events around the world. He is also the founder and organizer of the Wellington Power BI User Group. Thomas Martens has more than 20 years of experience in the fields of BI, DW, and analytics. As Principal Consultant of Business Intelligence and Analytics, he helps large enterprises to implement sustainable analytical applications. He specializes in the visualization of data, and the application of analytical methods to large amounts of data. He recognizes DAX as a powerful query language available in many products and wants to create solutions to bring DAX users to the next level.

Data warehousing. --- Information warehousing --- Warehousing, Data --- Database management --- Management information systems --- Multidimensional databases --- Microsoft software. --- Microsoft .NET Framework. --- Big data. --- Microsoft and .NET. --- Big Data. --- Data sets, Large --- Large data sets --- Data sets --- Computer software