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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 reviewed the features and processes applicable to administering Power BI for an organization. These included the configuration of tenant settings in the Power BI admin portal, analyzing the usage of Power BI assets, and monitoring overall user activity via the Office 365 audit logs. Additionally, important administrative capabilities of Azure Active Directory, such as conditional access policies and external guest users, were also described. Moreover, the tasks and options available to administer Power BI Premium capacity were also detailed.

The following chapter looks at the options for scaling Power BI to support increased user adoption, larger data sets, and enterprise BI solutions. This includes methodologies for allocating Power BI Premium capacity to workloads, leveraging the additional benefits of Power BI Premium, and migrating Power BI datasets to...

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