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
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17
Index

Summary

In this chapter, we’ve walked through the primary elements and considerations in planning a Power BI project. A standard and detailed planning process inclusive of the self-service capabilities needed or expected, project roles and responsibilities, and the design of the dataset can significantly reduce the time and cost to develop and maintain the solution. With a sound foundation of business requirements and technical analysis, a business intelligence team can confidently move forward into the development stage.

In the next chapter, the two data sources identified in this chapter (SQL Server and Excel) are accessed to begin the development of an import mode dataset. Source data is retrieved via Power BI’s M language queries to retrieve the set of required fact and dimension tables. Additionally, several data transformations and query techniques are applied to enhance the analytical value of the data and the usability of the dataset.

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