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

Russo, Marco; Ferrari, Alberto

ISBN 10: 173536522X / ISBN 13: 9781735365220

Editore: SQLBI Corp., 2024

Riguardo questo articolo

Codice articolo I-9781735365220

Dati bibliografici

• Titolo: Optimizing DAX: Improving DAX performance in Microsoft Power BI and Analysis Services
• Editore: SQLBI Corp.
• Data di pubblicazione: 2024
• Lingua: Inglese
• ISBN 10: 173536522X
• ISBN 13: 9781735365220
• Rilegatura: Brossura
• Edizione: seconda edizione
• Condizione: New

Descrizione articolo

Riassunto

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.