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 7: Data Preparation Common Best Practices

In the previous chapter, we dealt with a flat data source, and we prepared the data in the star schema shape by identifying the dimensions and facts. Then we prepared the data to serve the star schema in the data model. In this chapter, we will look at common data preparation best practices that will help to achieve better-performing queries that are well organized and are cheaper to maintain by going through some general techniques and considerations in Power Query to avoid common pitfalls. We will look at query folding and discuss some relevant best practices. We will emphasize the importance of data conversion to avoid potential issues caused by inappropriate data conversions in the data model. We will also discuss some techniques to keep the query sizes optimized. Last but not least, we'll discuss some naming conventions that are essential for code consistency.

In this chapter, we'll discuss the following best practices...