Book Image

Microsoft Power BI Quick Start Guide. - Second Edition

By : Devin Knight, Mitchell Pearson, Bradley Schacht, Erin Ostrowsky
Book Image

Microsoft Power BI Quick Start Guide. - Second Edition

By: Devin Knight, Mitchell Pearson, Bradley Schacht, Erin Ostrowsky

Overview of this book

This revised edition has been fully updated to reflect the latest enhancements to Power BI. It includes a new chapter dedicated to dataflow, and covers all the essential concepts such as installation, designing effective data models, as well as building basic dashboards and visualizations to help you and your organization make better business decisions. You’ll learn how to obtain data from a variety of sources and clean it using Power BI Query Editor. You’ll then find out how you can design your data model to navigate and explore relationships within it and build DAX formulas to make your data easier to work with. Visualizing your data is a key element in this book, and you’ll get to grips rapidly with data visualization styles and enhanced digital storytelling techniques. In addition, you will acquire the skills to build your own dataflows, understand the Common Data Model, and automate data flow refreshes to eradicate data cleansing inefficiency. This guide will help you understand how to administer your organization's Power BI environment so that deployment can be made seamless, data refreshes can run properly, and security can be fully implemented. By the end of this Power BI book, you’ll have a better understanding of how to get the most out of Power BI to perform effective business intelligence.
Table of Contents (12 chapters)
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In this chapter, you learned that data models in Power BI Desktop should be understandable and designed for scalability and flexibility. You learned how to create new relationships and edit existing relationships. You also learned about how to handle and model complex relationships like many-to-many and role-playing tables. This chapter discussed the importance of usability enhancements like sorting columns, adjusting default summarization, data categorization, and hiding and renaming columns and tables. Finally, the chapter ended with a short discussion on performance considerations for querying and processing your data model. You are now prepared and ready to start building data models in Power BI Desktop!

These data relationships, combined with simple, yet critical usability enhancements, allow you to build a data model that is both coherent and intelligent. Historically, business intelligence projects have cost significant resources in terms of time and money. With...