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

Ferrari, Alberto

ISBN 10: 173536522X / ISBN 13: 9781735365220

Verlag: SQLBI Corp., 2024

May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers. Bestandsnummer des Verkäufers 47711405-5

Inhaltsangabe:

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.

Bibliografische Details

Titel: Optimizing DAX: Improving DAX performance in...
Verlag: SQLBI Corp.
Erscheinungsdatum: 2024
Einband: Softcover
Zustand: good
Auflage: 2. Auflage