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

Chapter 5: Common Data Preparation Steps

In the previous chapter, we discussed some data sources that are frequently used in Power BI. We also covered data source certifications and the differences between various connection modes, storage modes, and dataset modes. This chapter will look at common preparation steps such as common table manipulations, common text manipulations, and common Date, DateTime, and DateTimeZone manipulations.

We will look at each of these by providing real-world scenarios that can help you deal with real daily data preparation challenges. Looking at the Power Query Editor, we can see that the data preparation activities are categorized into three separate tabs, as shown in the following screenshot:

  1. Home: This tab contains more generic actions, such as creating a new query, creating or managing query parameters, and performing some common data preparation steps such as split column, group by, and more.
  2. Transform: This tab contains more transformation...