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

Russo, Marco; Ferrari, Alberto

 
9781735365220: Optimizing DAX: Improving DAX performance in Microsoft Power BI and Analysis Services
Tapa blanda
ISBN 10: 173536522X ISBN 13: 9781735365220
Editorial: SQLBI Corp., 2024

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Editorial
SQLBI Corp.
Año de publicación
2024
Idioma
Inglés
ISBN 10 
173536522X
ISBN 13 
9781735365220
Encuadernación
Tapa blanda
Número de edición
2
Número de páginas
816
Contacto del fabricante
Manufactured by Amazon on behalf of the author
https://www.amazon.es/hz/contact-us

c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy
Luxembourg
L-1855
Luxemburgo