Book Image

Mastering Microsoft Power BI – Second Edition - Second Edition

By : Gregory Deckler, Brett Powell
4.5 (2)
Book Image

Mastering Microsoft Power BI – Second Edition - Second Edition

4.5 (2)
By: Gregory Deckler, Brett Powell

Overview of this book

Mastering Microsoft Power BI, Second Edition, provides an advanced understanding of Power BI to get the most out of your data and maximize business intelligence. This updated edition walks through each essential phase and component of Power BI, and explores the latest, most impactful Power BI features. Using best practices and working code examples, you will connect to data sources, shape and enhance source data, and develop analytical data models. You will also learn how to apply custom visuals, implement new DAX commands and paginated SSRS-style reports, manage application workspaces and metadata, and understand how content can be staged and securely distributed via Power BI apps. Furthermore, you will explore top report and interactive dashboard design practices using features such as bookmarks and the Power KPI visual, alongside the latest capabilities of Power BI mobile applications and self-service BI techniques. Additionally, important management and administration topics are covered, including application lifecycle management via Power BI pipelines, the on-premises data gateway, and Power BI Premium capacity. By the end of this Power BI book, you will be confident in creating sustainable and impactful charts, tables, reports, and dashboards with any kind of data using Microsoft Power BI.
Table of Contents (18 chapters)
16
Other Books You May Enjoy
17
Index

Summary

This chapter developed and described several common classes of DAX measures, including base measures, date intelligence metrics, dimension metrics, and ranking metrics. These measures utilized the fact and dimension tables developed in previous chapters.

In addition to detailed measure examples, the primary concepts of the DAX were reviewed and standard row-level security (RLS) and dynamic RLS (DRLS) models were shared. Finally, performance testing and tuning tools, including the Performance analyzer pane and DAX Studio were presented.

In the following chapter, Power BI reports are created, which leverage the dataset that has been incrementally developed since Chapter 2 and 3. Report-authoring features, such as the visualization types in Power BI Desktop, access the DAX measures from this chapter and the dimensions from previous chapters to deliver business insights and intuitive, self-service functionality.

Join our community on Discord

Join our community...