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

Duplicating a column

Another common transformation step under the Add Column tab is duplicating a column. In many scenarios, we may wish to duplicate a column, such as when we want to keep the original column available in our model while we need to transform it into a new column. Let's revisit the scenario that we looked at earlier in this chapter in the Split column by delimiter section. In that scenario, we split the OrderDateTime column from the Internet Sales table into two columns, Order Date and Order Time. In this section, we will do this another way. We will work on a duplicate table we created from Internet Sales before splitting the OrderDateTime column for this scenario. We will name the new table Internet Sales Duplicate.


Duplicating a query will be explained in more detail in the Duplicating and referencing queries section of this chapter.

The following steps show how to achieve this:

  1. Select the Internet Sales Duplicate table from the Queries...