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The definitive guide to DAX : business intelligence with Microsoft Power BI, SQL Server analysis services, and Excel / Marco Russo and Alberto Ferrari.

By: Russo, MarcoContributor(s): Ferrari, AlbertoMaterial type: TextTextPublisher: Noida : Pearson India Education Services Pvt. Ltd., 2023Edition: 2nd edDescription: xxvi, 739 p. : ill; 24 cmISBN: 9789353945480Subject(s): Microsoft Excel | Business intelligence | Power BIDDC classification: 005.756
Contents:
Introduction Chapter 1: What is DAX? Chapter 2: Introducing DAX Chapter 3: Using basic table functions Chapter 4: Understanding evaluation contexts Chapter 5: Understanding CALCULATE and CALCULATETABLE Chapter 6: Variables Chapter 7: Working with iterators and with CALCULATE Chapter 8: Time intelligence calculations Chapter 9: Calculation groups Chapter 10: Working with the filter context Chapter 11: Handling hierarchies Chapter 12: Working with tables Chapter 13: Authoring queries Chapter 14: Advanced DAX concepts Chapter 15: Advanced relationships Chapter 16: Advanced calculations in DAX Chapter 17: The DAX engines Chapter 18: Optimizing VertiPaq Chapter 19: Analyzing DAX query plans Chapter 20: Optimizing DAX Index
List(s) this item appears in: New Arrivals - April 1st to 30th 2024
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Item type Current location Call number Status Date due Barcode
Books Institute of Public Enterprise, Library
S Campus
005.756 RUS (Browse shelf) Checked out 08/27/2024 48012

Include Index

Introduction
Chapter 1: What is DAX?
Chapter 2: Introducing DAX
Chapter 3: Using basic table functions
Chapter 4: Understanding evaluation contexts
Chapter 5: Understanding CALCULATE and CALCULATETABLE
Chapter 6: Variables
Chapter 7: Working with iterators and with CALCULATE
Chapter 8: Time intelligence calculations
Chapter 9: Calculation groups
Chapter 10: Working with the filter context
Chapter 11: Handling hierarchies
Chapter 12: Working with tables
Chapter 13: Authoring queries
Chapter 14: Advanced DAX concepts
Chapter 15: Advanced relationships
Chapter 16: Advanced calculations in DAX
Chapter 17: The DAX engines
Chapter 18: Optimizing VertiPaq
Chapter 19: Analyzing DAX query plans
Chapter 20: Optimizing DAX
Index

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