Pro DAX with Power BI

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; Two Approaches.- Chapter 5: Filtering in DAX.- Chapter 6: Iterators.- Chapter 7: Filtering 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. Hecan 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.