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Mastering Microsoft Power BI

Mastering Microsoft Power BI

By : Powell
3.2 (21)
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Mastering Microsoft Power BI

Mastering Microsoft Power BI

3.2 (21)
By: Powell

Overview of this book

This book is intended for business intelligence professionals responsible for the design and development of Power BI content as well as managers, architects and administrators who oversee Power BI projects and deployments. The chapters flow from the planning of a Power BI project through the development and distribution of content to the administration of Power BI for an organization. BI developers will learn how to create sustainable and impactful Power BI datasets, reports, and dashboards. This includes connecting to data sources, shaping and enhancing source data, and developing an analytical data model. Additionally, top report and dashboard design practices are described using features such as Bookmarks and the Power KPI visual. BI managers will learn how Power BI’s tools work together such as with the On-premises data gateway and how content can be staged and securely distributed via Apps. Additionally, both the Power BI Report Server and Power BI Premium are reviewed. By the end of this book, you will be confident in creating effective charts, tables, reports or dashboards for any kind of data using the tools and techniques in Microsoft Power BI.
Table of Contents (15 chapters)
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Summary

This chapter built on the queries from Chapter 2, Connecting to Sources and Transforming Data with M, to implement import and DirectQuery analytical data models. Relationships were created between fact and dimension tables as well as between bridge tables and the Sales and Margin Plan to enable actual versus plan reporting and analysis. Additionally, the fundamentals of designing Power BI models and all top features were reviewed, including bidirectional cross-filtering, inactive relationships, and hierarchies. Moreover, detailed guidance on metadata, such as data categories and DMVs available for analyzing memory usage, was provided.

The following chapter continues to build on the dataset for this project by developing analytical measures and security models. The DAX expressions implemented in this chapter will directly leverage the relationships defined in this chapter...

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