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Learn Power BI

Learn Power BI

By : Greg Deckler
3.5 (8)
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Learn Power BI

Learn Power BI

3.5 (8)
By: Greg 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 Power BI book is an entry-level guide that will get you up and running with data modeling, visualization, and analytical techniques from scratch. You'll find this book handy if you want to get well-versed with the extensive Power BI ecosystem. You'll start by covering the basics of business intelligence and installing Power BI. You'll then learn the wide range of Power BI features to unlock business insights. As you progress, the book will take you through how to use Power Query to ingest, cleanse, and shape your data, and use Power BI DAX to create simple to complex calculations. You'll also be able to add a variety of interactive visualizations to your reports to bring your data to life. Finally, you'll gain hands-on experience in creating visually stunning reports that speak to business decision makers, and see how you can securely share these reports and collaborate with others. By the end of this book, you'll be ready to create simple, yet effective, BI reports and dashboards using the latest features of Power BI.
Table of Contents (15 chapters)
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1
Section 1: The Basics
3
Section 2: The Desktop
9
Section 3: The Service

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 in order to gain insights into our data. Then, we created calculations to fulfill our goal of reporting on utilization. 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...

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