This is the code repository for Mastering Microsoft Power BI, published by Packt. It contains all the supporting project files necessary to work through the book from start to finish.

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 PowerBI. ##Instructions and Navigation All of the code is organized into folders. Each folder starts with a number followed by the application name. For example, Chapter02.

The code will look like the following:

SELECT
P.ProductKey as 'Product Key'
, P.ProductAlternateKey as 'Product Alternate Key'
, P.EnglishProductName AS 'Product Name'
, ISNULL(S.EnglishProductSubcategoryName, 'Undefined') 'Product
Subcategory'

A Power BI Pro license and access to the Power BI service is necessary to follow many of the topics and examples in this book. The assignment of the Power BI Service Administrator role within the Office 365 admin center, as well as administrative access to an On-premises data gateway, would also be helpful for the second half of this book. It's assumed that readers are familiar with the main user interfaces of Power BI Desktop and have some background in business intelligence or information technology. The primary data source for the examples in this book was the AdventureWorks data warehouse sample database for SQL Server 2016 CTP3. A SQL Server 2017 Developer Edition database engine instance was used to host the sample database. For the import mode dataset, an Excel workbook stored the sales plan data. For the DirectQuery dataset, the sales plan data was stored in the sample SQL Server database. The AdventureWorksDW2016CTP3 sample database can be downloaded from the following URL: https://www.microsoft.com/en-us/download/details.aspx?id=49502. Editions of SQL Server 2017 are available for download from the following URL: https://www.microsoft.com/en-us/sql-server/sql-server-downloads. The Power BI Desktop files and specific queries and scripts utilized in the book are included in the code bundle. However, the source data and database are not included in the code bundle. Additionally, the database used by the book contains objects not included in the downloadable sample database, such as SQL views for each fact and dimension table. Therefore, even with access to a SQL Server 2017 database engine instance and the sample AdventureWorks data warehouse database, the examples in the book cannot be completely reproduced.

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