Book Image

Mastering Microsoft Power BI

By : Brett Powell
5 (1)
Book Image

Mastering Microsoft Power BI

5 (1)
By: Brett 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)

Summary

In this chapter, we've walked through the primary elements and considerations in planning a Power BI project. A standard and detailed planing 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 a development stage.

In the next chapter, the two data sources identified in this chapter (SQL Server and Excel) will be accessed to begin development of an import mode dataset. Source data will be 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 will be applied to enhance the analytical value of the data and the usability of the dataset.