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- Author: Alberto Ferrari
- Publisher: SQLBI Corp.
- ISBN-10: 1735365246
- ISBN-13: 9781735365244
- Format: 19.1 x 23.5 x 4.3 cm, kieti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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Description
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.
EXTRA 10 % discount with code: EXTRA
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The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Alberto Ferrari
- Publisher: SQLBI Corp.
- ISBN-10: 1735365246
- ISBN-13: 9781735365244
- Format: 19.1 x 23.5 x 4.3 cm, kieti viršeliai
- Language: English English
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.
Reviews