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


In this chapter, we learned some common best practices for working with Star Schema and data modeling. We learned how to implement many-to-many relationships. We also learned how and when to use bidirectional relationships. Then we looked at disabled relationships and how we can programmatically enable them. We also learned about the config tables and how they can help us with our data visualization. We then discussed why and when we should avoid using calculated columns. Next, we looked at some techniques to organize the data model. Last but not least, we learned how we could reduce the model size by disabling the Auto date/time feature in Power BI Desktop.

In the next chapter, Advanced Modeling Techniques, we will discuss some exciting data modeling techniques that can boost our Power BI model performance while creating complex models. See you there.