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 engine Learn 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 bottlenecks Prerequisites: proficiency in DAX and SQL (for DirectQuery), understanding of the Tabular engine used by semantic models, and familiarity with DAX Studio.
Price: 82.85 USD
Location: East Hanover, New Jersey
End Time: 2024-12-03T03:58:36.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 60 Days
Refund will be given as: Money Back
Return policy details:
EAN: 9781735365220
UPC: 9781735365220
ISBN: 9781735365220
MPN: N/A
Book Title: Optimizing DAX: Improving DAX performance in Micro
Educational Level: Adult & Further Education
Number of Pages: 818 Pages
Publication Name: Optimizing Dax : Second Edition
Language: English
Publisher: Sqlbi Corp.
Publication Year: 2024
Item Height: 1.6 in
Subject: General
Type: Textbook
Item Weight: 48.7 Oz
Author: Marco Russo, Alberto Ferrari
Item Length: 9.3 in
Subject Area: Computers
Item Width: 7.5 in
Format: Trade Paperback
