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)
1
Section 1: Data Modeling in Power BI
4
Section 2: Data Preparation in Query Editor
10
Section 3: Data Modeling
13
Section 4: Advanced Data Modeling

Understanding data source certification

While data source certification leans toward Power BI governance, it is crucial to understand what it is and how it affects data modelers. The data source certification is more about the quality of data and assessing the level of trust we can build upon the data available in different data sources. This section will not explain the steps and processes of data source certification as it is out of this book's scope. The results of data source certification group our data sources into three (or more) categories. Different organizations use different terminology to refer to the quality of their data. This section uses Bronze, Silver, and Gold categories, indicating the quality of data contained in data sources. You may use different terms in your data source certification.

Bronze

The Bronze data sources contain uncurated data. The data has never been thoroughly quality controlled. While the data source may have valuable data it may have...