Book Image

Expert Data Modeling with Power BI

By : Soheil Bakhshi
Book Image

Expert Data Modeling with Power BI

By: Soheil Bakhshi

Overview of this book

This book is a comprehensive guide to understanding the ins and outs of data modeling and how to create data models using Power BI confidently. You'll learn how to connect data from multiple sources, understand data, define and manage relationships between data, and shape data models to gain deep and detailed insights about your organization. In this book, you'll explore how to use data modeling and navigation techniques to define relationships and create a data model before defining new metrics and performing custom calculations using modeling features. As you advance through the chapters, the book will demonstrate how to create full-fledged data models, enabling you to create efficient data models and simpler DAX code with new data modeling features. With the help of examples, you'll discover how you can solve business challenges by building optimal data models and changing your existing data models to meet evolving business requirements. Finally, you'll learn how to use some new and advanced modeling features to enhance your data models to carry out a wide variety of complex tasks. By the end of this Power BI book, you'll have gained the skills you need to structure data coming from multiple sources in different ways to create optimized data models that support reporting and data analytics.
Table of Contents (18 chapters)
Section 1: Data Modeling in Power BI
Section 2: Data Preparation in Query Editor
Section 3: Data Modeling
Section 4: Advanced Data Modeling

Section 3: Data Modeling

Everything you have learned so far comes together in this section, in which we will build a well-designed data model in Power BI. The section starts with data modeling components from a Power BI point of view. Then the concept of granularity is discussed. While in the previous chapters you prepared the building blocks of your data model, it is now time to physically build the model with real-world hands-on scenarios. This section also explains config tables and walks you through some scenarios in which you need to take advantage of the power of config tables. This section ends with naming conventions and data modeling best practices.

This section comprises the following chapters:

  • Chapter 8, Data Modeling Components
  • Chapter 9, Star Schema and Data Modeling Common Best Practices