


ISBN-13: 9781484248966 / Angielski / Miękka / 2019 / 376 str.
ISBN-13: 9781484248966 / Angielski / Miękka / 2019 / 376 str.
Intermediate-Advanced user level
Part I: The Foundation
Chapter 1: DAX Mechanic
Chapter 2: Data Modeling
Chapter 3: DAX Lineage
Part II: Core Concepts
Chapter 4: This Weird Context Thing
Chapter 5: Filtering in DAX
Chapter 6: Iterators
Chapter 7: Filters Using Measures
Part III: DAX to Solve Advanced Everyday Problems
Chapter 8: Using DAX to Solve Advanced Reporting Requirements
Chapter 9: Time Intelligence
Chapter 10: Finding What's Not There
Chapter 11: Row Level Security
Part IV: Debugging and Optimization
Chapter 12: DAX Studio
Chapter 13: Query Plans
Chapter 14: Scale your Models
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. Recognized for his analytical, conceptual, and problem-solving abilities, he has more than 25 years of commercial experience delivering business applications across a broad range of technologies. His expertise runs the gamut from project management, dimensional modeling, performance tuning, ETL design, development and optimization, and report and dashboard design to installation and administration.
In 2017 Phil received a Microsoft Data Platform MVP award for his contributions to the Power BI community site, and in 2018 he was named a top 10 influencer in the Power BI space. He can be found speaking at many data, analytic, and reporting events around the world. He is also the founder and organizer of the Wellington Power BI User Group. He can be reached through Twitter at PhilSeamark.
Thomas Martens has more than 20 years of experience in the fields of BI, DW, and analytics. In his current role 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 leverage his hard-earned experience in creating solutions to bring DAX users to the next level. He can be reached at Twitter at tommartens68.
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.
What You Will Learn
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.
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