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  • Book Overview & Buying Mastering Microsoft Power BI
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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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Query design per dataset mode

Many common M queries can be written for both import and DirectQuery datasets, but with widely different implications for the source system resources utilized and the performance of the analytical queries from Power BI. It's essential that the mode of the dataset (import or DirectQuery) has been determined in advance of the development of the data access queries and that this decision is reflected in the M queries of the dataset.

The M queries supporting a Power BI dataset import mode should exclude, or possibly split, columns with many unique values, such as a Transaction Number column, as these columns consume relatively high levels of memory. A standard design technique for import mode models is to exclude derived fact table columns with relatively more unique values when these values can be computed via simple DAX measure expressions based...

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