DAX Patterns DAX Patterns

DAX Patterns

Second Edition

    • CHF 31.00
    • CHF 31.00

Descrizione dell’editore

A pattern is a general, reusable solution to a frequent or common challenge. This book is the second edition of the most comprehensive collection of ready-to-use solutions in DAX, that you can use in Microsoft Power BI, Analysis Services Tabular, and Power Pivot for Excel.



The book includes the following patterns: Time-related calculations, Standard time-related calculations, Month-related calculations, Week-related calculations, Custom time-related calculations, Comparing different time periods, Semi-additive calculations, Cumulative total, Parameter table, Static segmentation, Dynamic segmentation, ABC classification, New and returning customers, Related distinct count, Events in progress, Ranking, Hierarchies, Parent-child hierarchies, Like-for-like comparison, Transition matrix, Survey, Basket analysis, Currency conversion, Budget.

GENERE
Computer e internet
PUBBLICATO
2020
28 luglio
LINGUA
EN
Inglese
PAGINE
226
EDITORE
SQLBI Corp.
DIMENSIONE
86,6
MB
Definitive Guide to DAX, The Definitive Guide to DAX, The
2019
The Definitive Guide to DAX The Definitive Guide to DAX
2015
Analyzing Data with Power BI and Power Pivot for Excel Analyzing Data with Power BI and Power Pivot for Excel
2017
The Many 2Many Revolution: Advanced Dimensional Modeling with SQL Server Analysis Services 2005 The Many 2Many Revolution: Advanced Dimensional Modeling with SQL Server Analysis Services 2005
2011
The Definitive Guide to DAX The Definitive Guide to DAX
2025
Kyle Travel  - Tome 3 - L’énergie du désespoir Kyle Travel  - Tome 3 - L’énergie du désespoir
2025
M Is for (Data) Monkey M Is for (Data) Monkey
2015
Collect, Combine, and Transform Data Using Power Query in Excel and Power BI Collect, Combine, and Transform Data Using Power Query in Excel and Power BI
2018
Optimizing DAX Optimizing DAX
2024
Star Schema The Complete Reference Star Schema The Complete Reference
2010
Power Pivot and Power BI Power Pivot and Power BI
2015
Storytelling with Data Storytelling with Data
2015