Book Image

Learn Power BI - Second Edition

By : Gregory Deckler
5 (1)
Book Image

Learn Power BI - Second Edition

5 (1)
By: Gregory Deckler

Overview of this book

To succeed in today's transforming business world, organizations need business intelligence capabilities to make smarter decisions faster than ever before. This updated second edition of Learn Power BI takes you on a journey of data exploration and discovery, using Microsoft Power BI to ingest, cleanse, and organize data in order to unlock key business insights that can then be shared with others. This newly revised and expanded edition of Learn Power BI covers all of the latest features and interface changes and takes you through the fundamentals of business intelligence projects, how to deploy, adopt, and govern Power BI within your organization, and how to leverage your knowledge in the marketplace and broader ecosystem that is Power BI. As you progress, you will learn how to ingest, cleanse, and transform your data into stunning visualizations, reports, and dashboards that speak to business decision-makers. By the end of this Power BI book, you will be fully prepared to be the data analysis hero of your organization – or even start a new career as a business intelligence professional.
Table of Contents (19 chapters)
1
Section 1:The Basics
4
Section 2:The Desktop
10
Section 3:The Service
15
Section 4:The Future

Chapter 5: Creating Data Models and Calculations

Even though we have loaded in some data, having raw data loaded into separate tables is not enough to enable analysis and visualization. In order to facilitate analysis and visualization, we must create a data model by building relationships between the individual tables, as well as calculations that will aid us in our analysis. Building a data model with relationships between tables and required calculations allows us to create the necessary reports that will prove useful and insightful to the business. In this chapter, we will learn how to create a data model, create Data Analysis Expressions (DAX) calculated columns, and understand the measures and techniques for troubleshooting DAX calculations.

The following topics will be covered in this chapter:

  • Creating a data model
  • Creating calculations
  • Checking and troubleshooting calculations