Definitive Guide to DAX

This comprehensive and authoritative guide will teach students the DAX language for business intelligence, data modeling, and analytics. Leading Microsoft BI consultants Marco Russo and Alberto Ferrari help students master everything from table functions through advanced code and model optimization. They'll learn exactly what happens under the hood when you run a DAX expression, how DAX behaves differently from other languages, and how to use this knowledge to write fast, robust code. If you want to leverage all of DAX's remarkable power and flexibility, this no-compromise deep dive is exactly what you need.

Perform powerful data analysis with DAX for Microsoft SQL Server Analysis Services, Excel, and Power BI

• Master core DAX concepts, including calculated columns, measures, and error handling
• Understand evaluation contexts and the CALCULATE and CALCULATETABLE functions
• Perform time-based calculations: YTD, MTD, previous year, working days, and more
• Work with expanded tables, complex functions, and elaborate DAX expressions
• Perform calculations over hierarchies, including parent/child hierarchies
• Use DAX to express diverse and unusual relationships
• Measure DAX query performance with SQL Server Profiler and DAX Studio

This comprehensive and authoritative guide will teach you the DAX language for business intelligence, data modeling, and analytics. Leading Microsoft BI consultants Marco Russo and Alberto Ferrari help you master everything from table functions through advanced code and model optimization. You'll learn exactly what happens under the hood when you run a DAX expression, how DAX behaves differently from other languages, and how to use this knowledge to write fast, robust code. If you want to leverage all of DAX's remarkable power and flexibility, this no-compromise deep dive is exactly what you need.

Perform powerful data analysis with DAX for Microsoft SQL Server Analysis Services, Excel, and Power BI

• Master core DAX concepts, including calculated columns, measures, and error handling
• Understand evaluation contexts and the CALCULATE and CALCULATETABLE functions
• Perform time-based calculations: YTD, MTD, previous year, working days, and more
• Work with expanded tables, complex functions, and elaborate DAX expressions
• Perform calculations over hierarchies, including parent/child hierarchies
• Use DAX to express diverse and unusual relationships
• Measure DAX query performance with SQL Server Profiler and DAX Studio

Auteur

Marco Russo and Alberto Ferrari are the founders of sqlbi.com, where they regularly publish articles about Microsoft Power BI, Power Pivot, DAX, and SQL Server Analysis Services. They have worked with DAX since the fi rst beta version of Power Pivot in 2009 and, during these years, sqlbi.com became one of the major sources for DAX articles and tutorials. Their courses, both in-person and online, are the major source of learning for many DAX enthusiasts.

They both provide consultancy and mentoring on business intelligence (BI) using Microsoft technologies. They have written several books and papers about Power BI, DAX, and Analysis Services. They constantly help the community of DAX users providing content for the websites daxpatterns.com, daxformatter.com, and dax.guide.

Marco and Alberto are also regular speakers at major international conferences, including Microsoft Ignite, PASS Summit, and SQLBits. Contact Marco at marco.russo@sqlbi.com, and contact Alberto at alberto.ferrari@sqlbi.com

Contenu

• Introduction
• Chapter 1: What is DAX?
• Chapter 2: Introducing DAX
• Chapter 3: Using basic table functions
• Chapter 4: Understanding evaluation contexts
• Chapter 5: Understanding CALCULATE and CALCULATETABLE
• Chapter 6: DAX examples
• Chapter 7: Time intelligence calculations
• Chapter 8: Statistical functions
• Chapter 9: Advanced table functions
• Chapter 10: Advanced evaluation context
• Chapter 11: Handling hierarchies
• Chapter 12: Advanced relationships
• Chapter 13: The VertiPaq engine
• Chapter 14: Optimizing data models
• Chapter 15: Analyzing DAX query plans
• Chapter 16: Optimizing DAX
• Index