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

On-premises data gateway planning

Planning for the On-premises data gateway involves considerations for infrastructure/resources and networking, data governance, and the administration of the gateway itself. Before committing to a gateway, an organization can determine if BI solutions should be developed against data sources that require a gateway such as legacy on-premises databases or if this data should be loaded/centralized in a source that doesn’t require a gateway such as Azure Synapse or Azure SQL Database.

For example, a BI team could determine that a gateway will only be used for a particular on-premises SQL Server database and any other on-premises sources such as files on network file shares and other databases will either not be supported or will require its own gateway in the future.

After determining that a gateway or cluster of gateways will indeed be a required component of the Power BI architecture, more detailed considerations can be reviewed such...