Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Extreme DAX

You're reading from   Extreme DAX Take your Power BI and Microsoft data analytics skills to the next level

Arrow left icon
Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781801078511
Length 470 pages
Edition 1st Edition
Languages
Arrow right icon
Authors (2):
Arrow left icon
Henk Vlootman Henk Vlootman
Author Profile Icon Henk Vlootman
Henk Vlootman
Michiel Rozema Michiel Rozema
Author Profile Icon Michiel Rozema
Michiel Rozema
Arrow right icon
View More author details
Toc

Table of Contents (17) Chapters Close

Preface Part I: Introduction FREE CHAPTER
1.1 DAX in Business Intelligence 1.2 Model Design 1.3 Using DAX 1.4 Context and Filtering Part II: Business cases
2.1 Security with DAX 2.2 Dynamically Changing Visualizations 2.3 Alternative Calendars 2.4 Working with AutoExist 2.5 Intercompany Business 2.6 Exploring the Future: Forecasting and Future Values 2.7 Inventory Analysis 2.8 Personnel Planning Other Books You May Enjoy
Index

The Five-Layer model for business intelligence

To be able to discuss analytics in a structured and comprehensive way, we have developed a simple framework that describes the main components and responsibilities in an analytics solution. We have given it an equally simple name: the Five-Layer model.

Figure 1.1: The Five-Layer model

The first and lowest layer, Connect, is the starting point of analytics: if you want to analyze data, those data must come from somewhere. They could reside in Excel sheets, text files, large business databases, or somewhere on the Internet.

These raw data aren't typically in the right format to be able to analyze, especially when they come from different sources. Therefore, you need to Prepare your data. Preparation can take many forms, like imposing certain data types, transforming data, building data history, or matching data based on key attributes.

Creating nice and clean datasets in the Connect and Prepare layers can take...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime