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Expert Data Modeling with Power BI

Expert Data Modeling with Power BI - Second Edition

By : Soheil Bakhshi
4.9 (66)
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Expert Data Modeling with Power BI

Expert Data Modeling with Power BI

4.9 (66)
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 full-fledged data models using Power BI confidently. In this new, fully updated edition, 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. As you advance through the chapters, the book will demonstrate how to prepare efficient data models in the Power Query Editor and use simpler DAX code with new data modeling features. You'll explore how to use the various data modeling and navigation techniques and perform custom calculations using the modeling features with the help of real-world examples. 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. Additionally, you'll learn valuable best practices and explore common data modeling complications and the solutions to supercharge the process of creating a data model in Power BI and build better-performing data models. 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 high-performing reports and data analytics.
Table of Contents (22 chapters)
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1
Section I: Data Modeling in Power BI
4
Section II: Data Preparation in Query Editor
10
Section III: Data Modeling
13
Section IV: Advanced Data Modeling
20
Other Books You May Enjoy
21
Index

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 looks at common data preparation steps such as table, text, Date, DateTime, and DateTimeZone manipulations.

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

  1. Home: Contains more generic actions, such as creating a new query, creating or managing query parameters, and performing common data preparation steps such as split column, Group By, and more.
  2. Transform: Contains more transformation functionalities that can be performed through the UI.
  3. Add Column: Contains data preparation steps related...
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Expert Data Modeling with Power BI
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