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)

Dashboard data classifications

Dashboard data classifications allow administrators of Power BI to define data security classifications for dashboards in the Power BI service. Once configured in the Power BI admin portal, Power BI Pro users responsible for creating and editing dashboards in app workspaces can associate one of the available classifications to each dashboard. Additionally, the classification tags can be linked to external URLs to provide users with additional information, such as the organization's definitions and policies for each data classification.

The data security tags, such as Confidential or Public, serve to raise awareness regarding the sensitivity of the content and thus reduce the risk that protected data is inappropriately exposed or distributed.

For example, an organization could allow certain security groups of users to share Power BI content with...