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Definitive Guide to DAX, The: Business intelligence for Microsoft Power BI, SQL Server Analysis Services, and Excel Paperback – Illustrated, 20 July 2019
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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
About the Author
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 firstname.lastname@example.org, and contact Alberto at email@example.com
- Language : English
- Paperback : 768 pages
- ISBN-10 : 1509306978
- ISBN-13 : 978-1509306978
- Best Sellers Rank: 26,291 in Books (See Top 100 in Books)
- Customer reviews:
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There is a lot of material related to workarounds for some pretty obscure needs. For some reason the authors are obsessed with correctly calculating percentages of subgroups in tables and there are pages and pages on that throughout the book.
Perhaps the most frustrating part is that there is one chapter on basically "how to solve real-world problems with DAX" - for example, making sure your year-on-year comparisons are accurate, or honing your year-to-date analysis - but this is very short; I wish it had been the whole book.
The style makes the first reading very easy but re-reading for note taking purposes is slightly more long winded as you have to skip through the educational "wrong" bits to keep only the actual correct stuff. I like this balance though because first read of new concepts in DAX can be very dispiriting.
I feel that understanding this book cover to cover will make me a genuine DAX guru, and I would recommend it to you if that's your goal also