Preface

It is very easy to start building analytical solutions in Power BI. Insightful content can come from many sources imported into a semantic model. The popularity of the model can bring many requests from various people in the organization for additional slicers and filters. If you do not plan for scale appropriately, performance issues will arise at all angles. This book can help by covering performance issues with optimizations for every layer of Power BI, from the report pane to data modeling as well as transformation, storage, and architecture.

Developers and architects working with Power BI will be able to put their knowledge to work with this practical guide to designing and implementing solutions at every step of the development process ending with a deployment. This book is not only a collection of best practices but it also provides a structured process with a hands-on approach to identifying and preventing common issues with using Power BI.

Complete with explanations of essential concepts and practical examples, you’ll learn about common design choices that affect the performance and consumption of resources. You’ll grasp common architectural patterns and settings that affect most deployments to the service. As you progress through the book, each level will show a typical example at that stage. This will help with the scale and usability of the semantic model and any reports associated with that model. The layers include the report pane, a semantic model, capacities for deployment, and gateway optimizations.

By the end of this book, you will know where to go to get the latest optimization techniques for each layer of design and deployment of Power BI models and reports.