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

Gateway concepts

There are a number of different concepts and designs enterprise BI teams should be familiar with when it comes to the On-premises data gateway. These include the concept of gateway clusters, different gateway architecture designs, and security. Each of these subjects is explored in detail in the following sections.

Gateway clusters

Gateways natively support clustering. Clustering is when independent software systems, called instances or nodes, work together as a unified resource to provide greater scalability and reliability. Each Power BI dataset is associated with a single gateway cluster, which is composed of one or more standard gateway instances.

For example, if a Power BI dataset imports data from both a SQL Server database and an Excel file, the same gateway cluster is responsible for the import from both sources.

Likewise, if hundreds of business users interact with reports based on the same DirectQuery dataset or a Live connection to an...