Nicht aus der Schweiz? Besuchen Sie lehmanns.de
DAX Cookbook - Greg Deckler

DAX Cookbook

Over 120 recipes to enhance your business with analytics, reporting, and business intelligence

(Autor)

Buch | Softcover
552 Seiten
2020
Packt Publishing Limited (Verlag)
978-1-83921-707-4 (ISBN)
CHF 62,80 inkl. MwSt
DAX is a library of functions and operators that can be combined to build formulas and expressions in Power BI Desktop, Azure Analysis Services, SQL Server Analysis Services, and Power Pivot in Excel. This book is a desk reference for people who want to leverage DAX's functionality and flexibility in BI and data analytics domains.
Solve real-world business problems by learning how to create common industry key performance indicators and other calculations using DAX within Microsoft products such as Power BI, SQL Server, and Excel.

Key Features

Learn to write sophisticated DAX queries to solve business intelligence and data analytics challenges
Handle performance issues and optimization within the data model, DAX calculations and more
Solve business issues with Microsoft Excel, Power BI, and SQL Server using DAX queries

Book DescriptionDAX provides an extra edge by extracting key information from the data that is already present in your model. Filled with examples of practical, real-world calculations geared toward business metrics and key performance indicators, this cookbook features solutions that you can apply for your own business analysis needs.

You'll learn to write various DAX expressions and functions to understand how DAX queries work. The book also covers sections on dates, time, and duration to help you deal with working days, time zones, and shifts. You'll then discover how to manipulate text and numbers to create dynamic titles and ranks, and deal with measure totals. Later, you'll explore common business metrics for finance, customers, employees, and projects. The book will also show you how to implement common industry metrics such as days of supply, mean time between failure, order cycle time and overall equipment effectiveness. In the concluding chapters, you'll learn to apply statistical formulas for covariance, kurtosis, and skewness. Finally, you'll explore advanced DAX patterns for interpolation, inverse aggregators, inverse slicers, and even forecasting with a deseasonalized correlation coefficient.

By the end of this book, you'll have the skills you need to use DAX's functionality and flexibility in business intelligence and data analytics.

What you will learn

Understand how to create common calculations for dates, time, and duration
Create key performance indicators (KPIs) and other business calculations
Develop general DAX calculations that deal with text and numbers
Discover new ideas and time-saving techniques for better calculations and models
Perform advanced DAX calculations for solving statistical measures and other mathematical formulas
Handle errors in DAX and learn how to debug DAX calculations
Understand how to optimize your data models

Who this book is forBusiness users, BI developers, data analysts, and SQL users who are looking for solutions to the challenges faced while solving analytical operations using DAX techniques and patterns will find this book useful. Basic knowledge of the DAX language and Microsoft services is mandatory.

Greg Deckler is Vice President of the Microsoft Practice at Fusion Alliance and has been a professional technology systems consultant for over 25 years. Internationally recognized as an expert in Power BI, Greg Deckler is a Microsoft MVP for Data Platform and a superuser within the Power BI community with over 100,000 messages read, more than 11,000 replies, over 2,300 answers, and more than 75 entries in the Quick Measures Gallery. Greg founded the Columbus Azure ML and Power BI User Group (CAMLPUG) and presents at numerous conferences and events, including SQL Saturday, DogFood, and the Dynamic Communities User Group/Power Platform Summit.

Table of Contents

Thinking in DAX
Dealing with Dates and Calendars
Tangling with Time and Duration
Transforming Text and Numbers
Figuring Financial Rates and Revenues
Computing Customers KPIs
Evaluating Employment Measures
Processing Project Performance
Calculating Common Industry Metrics
Using Uncommon DAX Patterns
Solving Statistical and Mathematical Formulas
Applying Advanced DAX Patterns
Debugging and Optimizing DAX

Erscheinungsdatum
Verlagsort Birmingham
Sprache englisch
Maße 75 x 93 mm
Themenwelt Mathematik / Informatik Informatik Datenbanken
Mathematik / Informatik Informatik Theorie / Studium
Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
ISBN-10 1-83921-707-3 / 1839217073
ISBN-13 978-1-83921-707-4 / 9781839217074
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
Der Grundkurs für Ausbildung und Praxis

von Ralf Adams

Buch (2023)
Carl Hanser (Verlag)
CHF 41,95
Einführung in die Praxis der Datenbankentwicklung für Ausbildung, …

von René Steiner

Buch | Softcover (2021)
Springer Fachmedien Wiesbaden GmbH (Verlag)
CHF 69,95