In this chapter, we've covered all components of the data retrieval process used to support the dataset for this project as described in Chapter 1, Planning Power BI Projects. This includes the layer of SQL views within a database source, source connectivity parameters in Power BI Desktop, and the M queries used to define and load the dimension and fact tables of the dataset. In constructing a data access layer and retrieval process for a dataset, we've also discussed the design considerations relative to import and DirectQuery datasets, Power BI Desktop configuration options, and data source privacy levels. Additionally, we've reviewed core concepts of the M language, including query folding, item access, and data types. Moreover, we've reviewed three examples of efficiently implementing impactful data transformation logic via M queries as well as...
Mastering Microsoft Power BI
By :
Mastering Microsoft Power BI
By:
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)
Preface
Free Chapter
Planning Power BI Projects
Connecting to Sources and Transforming Data with M
Designing Import and DirectQuery Data Models
Developing DAX Measures and Security Roles
Creating and Formatting Power BI Reports
Applying Custom Visuals, Animation, and Analytics
Designing Power BI Dashboards and Architectures
Managing Application Workspaces and Content
Managing the On-Premises Data Gateway
Deploying the Power BI Report Server
Creating Power BI Apps and Content Distribution
Administering Power BI for an Organization
Scaling with Premium and Analysis Services
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