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

Adding column from examples

Adding column from examples is a brilliant feature of Power Query. It not only helps speed up the development process but also helps developers learn Power Query. The idea is that we can create a new column from sample data by entering the expected values in a sample column. Power Query then guesses what sort of transformation we are after and generates the expressions needed to achieve the results we entered manually. We can create new columns from selected columns or by all columns. Let's have a quick look at this feature by example.

We want to extract the usernames of the customers from their EmailAddress column, while the email structure is [email protected], from the Customer table. The following steps show how we can achieve this by adding a column from examples:

  1. Select the Customer table from the Queries pane.
  2. Select the EmailAddress column.
  3. Click the Column From Examples drop-down button from the Add Columns tab...