DAX provides an extra edge by extracting key information from the data that is already present in your model. With this book, you will leverage DAX's functionality and flexibility in the business intelligence (BI) and data analytics domain.
You'll start with the basics of DAX, along with the importance of good data models, and how to write efficient DAX formulas by using variables and good formatting. You will learn how DAX queries work using an example-based approach. You will learn how to optimize your BI workflow by writing efficient and powerful DAX queries with easy-to-follow explanations and examples. You will learn how to manipulate and load datasets of different complexities within various Microsoft products, such as Power BI, SQL Server, and Excel Power Pivot. You will learn how to build and extend your data models to gain additional insights. Later, you will delve into progressive DAX syntax and functions to understand complex relationships in DAX. You will cover important DAX functions, specifically those related to tables, date and time, filtering, and statistics. You will then move on to more advanced topics, such as how the formula and storage engines work to be able to optimize your queries.
By the end of this book, you will be able to employ DAX to enhance your data model by extracting new information and gaining deeper insights.