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Expert Data Modeling with Power BI, Second Edition Cover

Expert Data Modeling with Power BI, Second Edition

Enrich and optimize your data models to get the best out of Power BI for reporting and business needs

Publisher:Packt Publishing Limited
By:  and    
Paid access
|Sep 2024
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Description

Take your Power BI reports to the next level by learning various data modeling techniques and leveraging the latest features of Power BI effectively

Purchase of the print or Kindle book includes a free eBook in PDF format.

Key Features

  • Get an understanding of data modeling techniques using Power BI with this up-to-date guide
  • Learn how to define the relationships between data sets to extract valuable insights
  • Explore best practices for data preparation and modeling and build optimal data models to solve a wide variety of real-world business challenges

Book Description

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.

What you will learn

  • Implement virtual tables and time intelligence functionalities in DAX to build a powerful model
  • Identify Dimension and Fact tables and implement them in Power Query Editor
  • Deal with advanced data preparation scenarios while building Star Schema
  • Discover different hierarchies and their common pitfalls
  • Understand complex data models and how to decrease the level of model complexity with different approaches
  • Learn advanced data modeling techniques such as calculation groups, aggregations, incremental refresh, RLS/OLS, and more
  • Get well-versed with datamarts and dataflows in PowerBI

Who this book is for

This MS Power BI book is for BI users, data analysts, and analysis developers who want to become well-versed with data modeling techniques to make the most of Power BI. Basic working knowledge of Power BI and the Star Schema functionality are required to help you to understand the concepts covered in this book.

Table of Contents

  1. Introduction to Data Modeling in Power BI
  2. Data Analysis eXpressions and Data Modeling
  3. Data Preparation in Power Query Editor
  4. Getting Data from Various Sources
  5. Common Data Preparation Steps
  6. Star Schema Preparation In Power Query Editor
  7. Data Preparation Common Best Practices
  8. Data Modeling Components
  9. Star Schema and Data Modeling Common Best Practices
  10. Advanced Data Modeling Techniques
  11. Row-Level and Object-Level Security
  12. Dealing with More Advanced Data Warehousing Concepts in Power BI
  13. Introduction to Dataflows
  14. DirectQuery Connections to Power BI Datasets and Analysis Services in Composite Models
  15. New Options, Features, and DAX Functions
https://github.com/PacktPublishing/Expert-Data-Modeling-with-Power-BI-Second-Edition
PDF ISBN: 978-1-80324-539-3
Publisher: Packt Publishing Limited
Copyright owner: © 2023 Packt Publishing Limited
Publication date: 2024
Language: English
Pages: 692
Related subjects:
Computer sciences,
Computer sciences, other
BISAC subjects:
COM062000,
COM089000,
COM005030
Thema subjects:
UNA,
UYZM,
UYZF,
UNC,
UFL,
KJC

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