Expert Data Modeling with Power BI: Get the best out of Power BI by building optimized data models for reporting and business needs - Softcover

Bakhshi, Soheil

Softcover

ISBN 10: 1800205694 ISBN 13: 9781800205697

Publisher: Packt Publishing, 2021

Synopsis

Manage and work with business data effectively by learning data modeling techniques and leveraging the latest features of Power BI

Key Features

• Understand data modeling techniques to get the best out of data using Power BI
• Define the relationships between data to extract valuable insights
• Solve a wide variety of business challenges by building optimal data models

Book Description

Microsoft Power BI is one of the most popular business intelligence tools available on the market for desktop and the cloud. This book will be your 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.

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.

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
• Explore best practices for data preparation and data modeling
• Discover different hierarchies and their common pitfalls
• Understand complex data models and how to decrease the level of model complexity with different data modeling approaches

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 knowledge of Power BI and Star Schema will help you to understand the concepts covered in this book.

Table of Contents

1. Introduction to data modelling 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 Shema and Data Modeling Common Best Practices
10. Advanced Data Modeling Techniques
11. Row Level Security
12. Extra Options and Features Available for Data Modeling

About this title

About the Author

Soheil Bakhshi is the founder of Data Vizioner and is a sought after BI consultant. Working in data and analytics for more than 20 years, Soheil’s experience lies in Microsoft BI, Data Warehousing, and Power BI platform. He possesses MSCE, MCSA certifications and is a Microsoft MVP (Most Valuable Professional). He has a passion for sharing knowledge via his website and speaking at conferences and Power BI community events locally and globally. In following his desire for simplicity and efficiency, he is behind Power BI community tools and commercial products such as Power BI Exporter and Power BI Documenter.

Edition details

• Publisher: Packt Publishing
• Publication date: 2021
• Language: English
• ISBN 10: 1800205694
• ISBN 13: 9781800205697
• Binding: Paperback
• Number of pages: 612