Optimizing DAX : Improving DAX performance in Microsoft Power BI and Analysis Services (color)
Language: English
Published by SQLBI Corp., 2024
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 157.86
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - This book is the state of the art of optimizing DAX expressions in Power BI and Analysis Services semantic models. Learn how to locate performance bottlenecks, read the query plan and performance metrics, rewrite the slower part of an expression, and measure the performance improvements.Use tools like Power BI Desktop Performance Analyzer and DAX StudioUnderstand the DAX formula engine Learn characteristics of different storage engines (VertiPaq, DirectQuery over SQL)Read DAX query plansOptimize common DAX constructsSolve security performance issuesImprove DirectQuery response timeControl the data placement in composite models to avoid bottlenecksPrerequisites: proficiency in DAX and SQL (for DirectQuery), understanding of the Tabular engine used by semantic models, and familiarity with DAX Studio.The hardcover version of this book is in full color, with maximum fidelity of screenshots and different background colors to make code snippets language easy to identify.…
Seller Inventory # 9781735365244
- Title
- Optimizing DAX : Improving DAX performance in Microsoft Power BI and Analysis Services (color)
- Author
- Marco Russo
- Publisher
- SQLBI Corp.
- Publication year
- 2024
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 1735365246
- ISBN 13
- 9781735365244
- Edition
- 2nd Edition
- Item weight
- 1,630 grams
- Dimensions
- 241x196x48 mm
This book is the state of the art of optimizing DAX expressions in Power BI and Analysis Services semantic models. Learn how to locate performance bottlenecks, read the query plan and performance metrics, rewrite the slower part of an expression, and measure the performance improvements.
- Use tools like Power BI Desktop Performance Analyzer and DAX Studio
- Understand the DAX formula engine
- Learn characteristics of different storage engines (VertiPaq, DirectQuery over SQL)
- Read DAX query plans
- Optimize common DAX constructs
- Solve security performance issues
- Improve DirectQuery response time
- Control the data placement in composite models to avoid bottlenecks
Prerequisites: proficiency in DAX and SQL (for DirectQuery), understanding of the Tabular engine used by semantic models, and familiarity with DAX Studio.
The hardcover version of this book is in full color, with maximum fidelity of screenshots and different background colors to make code snippets language easy to identify.
"Synopsis" may belong to another edition of this title.
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