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Renowned DAX experts Alberto Ferrari and Marco Russo teach you how to design data models for maximum efficiency and effectiveness.How can you use Excel and Power BI to gain real insights into your information? As you examine your data, how do you write a formula that provides the numbers you need? The answers to both of these questions lie with the data model. This book introduces the basic techniques for shaping data models in Excel and Power BI. It’s meant for readers who are new to data modeling as well as for experienced data modelers looking for tips from the experts. If you want to use Power BI or Excel to analyze data, the many real-world examples in this book will help you look at your reports in a different way―like experienced data modelers do. As you’ll soon see, with the right data model, the correct answer is always a simple one!By reading this book, you will:• Gain an understanding of the basics of data modeling, including tables, relationships, and keys• Familiarize yourself with star schemas, snowflakes, and common modeling techniques• Learn the importance of granularity• Discover how to use multiple fact tables, like sales and purchases, in a complex data model• Manage calendar-related calculations by using date tables• Track historical attributes, like previous addresses of customers or manager assignments• Use snapshots to compute quantity on hand• Work with multiple currencies in the most efficient way• Analyze events that have durations, including overlapping durations• Learn what data model you need to answer your specific business questionsAbout This Book• For Excel and Power BI users who want to exploit the full power of their favorite tools• For BI professionals seeking new ideas for modeling data
This is a great book for those who want to understand data modeling. I bought this book hoping for a primer on Power BI, but quickly realized that that was not the book's intent -- the authors make this clear in the introduction. While I was mildly disappointed that it was not Power BI 101 or even DAX 101, I was glad that I learned what data modeling really is -- it is not SQL for Excel or Excel on steroids.As a newbie, I quickly learned that it was very easy to drag a column into a table and get a set of numbers that made no sense at all. One of the most valuable parts of this book is the recognition that nonsense data does happen, why it happens (e.g. weak relationships and bi-directional filtering) and how to build your model and relationships in a way to prevent nonsense data from creeping into your work. These lessons alone make this book worthwhile!
