Optimizing DAX: Improving DAX performance in Microsoft Power BI and Analysis Services (color)

Ferrari, Alberto; Russo, Marco

ISBN 10: 1735365246 / ISBN 13: 9781735365244

Published by Sqlbi Corp., 2024

About this Item

Seller Inventory # 26400558480

Bibliographic Details

• Title: Optimizing DAX: Improving DAX performance in Microsoft Power BI and Analysis Services (color)
• Publisher: Sqlbi Corp.
• Publication Date: 2024
• Language: English
• ISBN 10: 1735365246
• ISBN 13: 9781735365244
• Binding: Hardcover
• Edition: 2nd Edition
• Condition: New

About this title

Synopsis

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.