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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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Designing Import and DirectQuery Data Models

This chapter utilizes the queries described in Chapter 2, Connecting to Sources and Transforming Data with M, to create both an import and a DirectQuery Data Model. Relationships are created between fact and dimension tables to enable business users to analyze the fact data for both Internet Sales and Reseller Sales simultaneously by using common dimension tables and across multiple business dates. A combination of relationships, bidirectional cross-filtering, and DAX measures will be used to support the analysis of actual sales data versus the Annual Sales and Margin Plan. Additionally, the product dimension table is enhanced with a hierarchy to enable simple drill up/down, and a custom sort order is applied to columns in the date dimension table.

This chapter also includes recommended practices for model metadata, such as data categories...

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