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You're reading from  Microsoft Power BI Cookbook. - Second Edition

Product typeBook
Published inSep 2021
PublisherPackt
ISBN-139781801813044
Edition2nd Edition
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Authors (2):
Gregory Deckler
Gregory Deckler
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Gregory Deckler

Greg Deckler is a 7-time Microsoft MVP for Data Platform and an active blogger and Power BI community member, having written over 6,000 solutions to community questions. Greg has authored many books on Power BI, including Learn Power BI 1st and 2nd Editions, DAX Cookbook, Power BI Cookbook 2nd Edition and Mastering Power BI 2nd Edition. Greg has also created several external tools for Power BI and regularly posts video content to his YouTube channels, Microsoft Hates Greg and DAX For Humans.
Read more about Gregory Deckler

Brett Powell
Brett Powell
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Brett Powell

Brett Powell is the owner of and business intelligence consultant at Frontline Analytics LLC, a data and analytics research and consulting firm and Microsoft Power BI partner. He has worked with Power BI technologies since they were first introduced as the PowerPivot add-in for Excel 2010 and has been a Power BI architect and lead BI consultant for organizations across the retail, manufacturing, and financial services industries. Additionally, Brett has led Boston's Power BI User Group, delivered presentations at technology events such as Power BI World Tour, and maintains the popular Insight Quest Microsoft BI blog.
Read more about Brett Powell

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Enhancing Data Model Scalability and Usability

The performance of all Power BI reports is impacted by the design of the data model. The DAX queries executed upon accessing a report and when dynamically updating report visuals in interactive, self-service user sessions all rely on the relationships defined in the model and optimizations applied to the model's tables. For in-memory models, the cardinality of the columns imported and the compression of these columns contribute to the size of the dataset and query duration. For DirectQuery data models, the referential integrity of the source tables and the optimization of the relational source largely drive query performance.

This recipe includes three optimization processes, all focused on a Reseller Sales fact table with 11.7 million rows. The first example leverages the DMVs and Power BI memory report created in Chapter 10, Administering and Monitoring Power BI, to identify and address the most expensive columns. The second...

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Microsoft Power BI Cookbook. - Second Edition
Published in: Sep 2021Publisher: PacktISBN-13: 9781801813044

Authors (2)

author image
Gregory Deckler

Greg Deckler is a 7-time Microsoft MVP for Data Platform and an active blogger and Power BI community member, having written over 6,000 solutions to community questions. Greg has authored many books on Power BI, including Learn Power BI 1st and 2nd Editions, DAX Cookbook, Power BI Cookbook 2nd Edition and Mastering Power BI 2nd Edition. Greg has also created several external tools for Power BI and regularly posts video content to his YouTube channels, Microsoft Hates Greg and DAX For Humans.
Read more about Gregory Deckler

author image
Brett Powell

Brett Powell is the owner of and business intelligence consultant at Frontline Analytics LLC, a data and analytics research and consulting firm and Microsoft Power BI partner. He has worked with Power BI technologies since they were first introduced as the PowerPivot add-in for Excel 2010 and has been a Power BI architect and lead BI consultant for organizations across the retail, manufacturing, and financial services industries. Additionally, Brett has led Boston's Power BI User Group, delivered presentations at technology events such as Power BI World Tour, and maintains the popular Insight Quest Microsoft BI blog.
Read more about Brett Powell