What this book covers
Chapter 1, Installing and Licensing Power BI Tools, covers the installation and configuration of the primary tools and services necessary to complete the recipes within this book. This includes Power BI Desktop, SQL Server and the AdventureWorksDW2022 database, Power BI Report Builder, the On-Premises Data Gateway, DAX Studio, and the ALM Toolkit. Finally, this chapter explains how to properly license Power BI for an organization, depending on its size and requirements.
Chapter 2, Accessing, Retrieving, and Transforming Data, dives into Power BI Desktop’s Get Data experience and walks through the process of establishing and managing data source connections and queries, including how to transform and cleanse data.
Chapter 3, Building a Power BI Semantic Model, explores the primary processes of designing and developing robust semantic (data) models, including creating relationships, configuring metadata, leveraging aggregation tables, and more.
Chapter 4, Authoring Power BI Reports, develops and describes the most fundamental report visualizations and design concepts. Additionally, guidance is provided to enhance and control the user experience when consuming and interacting with Power BI reports in the Power BI service as well as on mobile devices.
Chapter 5, Working in the Power BI Service, covers Power BI dashboards constructed to provide simple, at-a-glance monitoring of critical measures and high-impact business activities. In addition, the chapter covers alerts, subscriptions, streaming, dataflows, and scorecards.
Chapter 6, Getting Serious about Date Intelligence, contains recipes for preparing a data model to support robust date intelligence as well as recipes for authoring custom date intelligence measures.
Chapter 7, Parameterizing Power BI Solutions, covers both standard parameterization features and techniques in Power BI as well as more advanced custom implementations.
Chapter 8, Implementing Dynamic User-Based Visibility in Power BI, contains detailed examples of building and deploying dynamic, user-based security for both Import and DirectQuery models as well as developing dynamic filter context functionality to enhance the user experience.
Chapter 9, Applying Advanced Analytics and Custom Visuals, contains a broad mix of recipes highlighting many of the latest and most popular custom visualizations and advanced analytics features of Power BI.
Chapter 10, Enhancing and Optimizing Existing Power BI Solutions, contains top data modeling, DAX measure, and M query patterns to enhance the performance, scalability, and reliability of Power BI datasets.
Chapter 11, Deploying and Distributing Power BI Content, contains detailed examples and considerations for deploying and distributing Power BI content via the Power BI service and alternate channels such as Microsoft Teams.
Chapter 12, Integrating Power BI with Other Applications, highlights powerful integrations between Power BI, SSRS, Excel, PowerPoint, PowerApps, Power Automate, and Dynamics 365.
Chapter 13, Working with Premium and Microsoft Fabric, covers workloads availble to Power BI Premium and Microsoft Fabric tenants such as data warehousing, data engineering, and data science.
Chapter 14, Administering and Governing Power BI, highlights the most common and impactful administration and governance topics and decisions, including the admin portal, tenant settings, analyzing usage, and governing custom visuals and data gateway installations. This chapter can be accessed online at https://packt.link/RMiGj.
