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

Summary

In this chapter, we took a tour of the Model view of Power BI and learned how to build a data model by creating relationships between separate tables. In doing so, we learned about the different types of relationships, as well as the concept of cross filter direction. Next, we explored the data model we created to understand how we can use fields from different tables in the same visualization to gain insights into our data. Then, we created calculations to fulfill our goal of reporting on utilization as well as building relationships between tables. First, we created utilization calculations using calculated columns and began to understand the limitations of calculated columns and when they should and should not be used. Then, we created utilization calculations using measures in order to enable truly dynamic calculations that respond to user interaction.

Finally, we troubleshot our measure calculations by using a variety of techniques such as boundary condition checking...