Beginning DAX with Power BI

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
  Who 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.

  Teaches the differences between the types of calculations available in DAX and how and when to use each Presents the key aspects of DAX such as variables, filter context, joining tables, aggregating data, and optimization Provides BI content for SQL pros while most DAX books target Excel users Shows you how to leverage the power of DAX by using advanced techniques to produce outcomes you otherwise thought wouldn't be possible The author is a Power BI MVP with years of expertise troubleshooting big data projects

  Autorentext

Philip Seamark is an experienced Data Warehouse and BI Consultant with a deep understanding of the Microsoft stack and extensive knowledge of data warehouse (DW) methodologies and enterprise data modeling. He is recognized for his analytical, conceptual, and problem-solving abilities with 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, report and dashboard design to installation and administration.

In 2017 he received a Microsoft Data Platform MVP award due to his contributions to the PowerBI community site, as well as speaking at many data, analytic, and reporting events around the world. Philip is also the founder and organizer of the Wellington Power BI User Group.

Inhalt
Chapter 1: Introduction to DAX.- Chapter 2: Variables.- Chapter 3: Context.- Chapter 4: Summarizing and Aggregating.- Chapter 5: Joins.- Chapter 6: Filtering.- Chapter 7: Dates.- Chapter 8: Debugging and Optimizing.- Chapter 9: Practical DAX.