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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
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.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
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.