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{ "item_title" : "Optimizing DAX", "item_author" : [" Alberto Ferrari", "Marco Russo "], "item_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 StudioUnderstand the DAX formula engineLearn characteristics of different storage engines (VertiPaq, DirectQuery over SQL)Read DAX query plansOptimize common DAX constructsSolve security performance issuesImprove DirectQuery response timeControl the data placement in composite models to avoid bottlenecksPrerequisites: proficiency in DAX and SQL (for DirectQuery), understanding of the Tabular engine used by semantic models, and familiarity with DAX Studio.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/73/536/522/173536522X_b.jpg", "price_data" : { "retail_price" : "69.00", "online_price" : "69.00", "our_price" : "69.00", "club_price" : "69.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Optimizing DAX|Alberto Ferrari

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

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9781735365220
  • ISBN-10: 173536522X
  • Publisher: Sqlbi Corp.
  • Publish Date: April 2024
  • Dimensions: 9.25 x 7.5 x 1.62 inches
  • Shipping Weight: 3.04 pounds
  • Page Count: 818

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