Book Image

Microsoft Power BI Complete Reference

By : Devin Knight, Brian Knight, Mitchell Pearson, Manuel Quintana, Brett Powell
Book Image

Microsoft Power BI Complete Reference

By: Devin Knight, Brian Knight, Mitchell Pearson, Manuel Quintana, Brett Powell

Overview of this book

Microsoft Power BI Complete Reference Guide gets you started with business intelligence by showing you how to install the Power BI toolset, design effective data models, and build basic dashboards and visualizations that make your data come to life. In this Learning Path, you will learn to create powerful interactive reports by visualizing your data and learn visualization styles, tips and tricks to bring your data to life. You will be able to administer your organization's Power BI environment to create and share dashboards. You will also be able to streamline deployment by implementing security and regular data refreshes. Next, you will delve deeper into the nuances of Power BI and handling projects. You will get acquainted with planning a Power BI project, development, and distribution of content, and deployment. You will learn to connect and extract data from various sources to create robust datasets, reports, and dashboards. Additionally, you will learn how to format reports and apply custom visuals, animation and analytics to further refine your data. By the end of this Learning Path, you will learn to implement the various Power BI tools such as on-premises gateway together along with staging and securely distributing content via apps. This Learning Path includes content from the following Packt products: • Microsoft Power BI Quick Start Guide by Devin Knight et al. • Mastering Microsoft Power BI by Brett Powell
Table of Contents (25 chapters)
Title Page
About Packt
Contributors
Preface
Index

Summary


This chapter developed and described several common classes of DAX measures, including date intelligence, dimension metrics, and ranking metrics. These measures utilized the fact and dimension tables accessed in Chapter 8Connecting to Sources and Transforming Data with M, as well as the data model relationships defined in Chapter 9, Designing Import and DirectQuery Data Models. In addition to detailed measure examples, primary concepts of the DAX including filter context, row context, measure evaluation, and DAX variables were also reviewed. Moreover, examples of standard and DRLS models were shared, and DAX Studio was presented as a tool for testing and tuning DAX.

In the following chapter, Power BI reports will be created which leverage the dataset that has been incrementally developed since Chapter 8Connecting to Sources and Transforming Data with M. Report-authoring features, such as the visualization types in Power BI Desktop, will access the DAX measures from this chapter...