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

Data sources

Data source connectivity is one of the strengths of Power BI, due to the vast list of standard data source connectors included in Power BI Desktop. In addition, numerous industry standards such as Open Data Protocol (OData), Open Database Connectivity (ODBC), and Object Linking and Embedding Database (OLE DB) are supported. The breadth of data connectivity options is further bolstered by the ability for developers to create custom Power BI data connectors for a specific application, service, or data source.

Although a Power BI dataset can connect to multiple sources ranging from Azure Synapse Analytics to a text file, solution architects and developers should strive to build solutions on a single, well-supported source such as a data warehouse database system that already contains the necessary data integrations as well as reflects data integrity constraints and quality processes. Power BI datasets that connect to several distinct sources, and particularly to less...