Chapter 1. What Is a Data Model?
This chapter covers the basics of data modeling, starting with basic terms, which will help establish the reasoning behind taking so much care of the data model. A data model that is optimized for creating reports and doing analysis is much easier to work with than one that is optimized for other purposes (e.g., to store data for an application or data collected in a spreadsheet). When it comes to analytical databases and data warehouses, you have more than one option.
The goal throughout this book is to create the data model as a star schema. By the end of this chapter, you’ll know which characteristics of a star schema differentiate it from other modeling approaches. Each and every chapter reinforces why a star schema is so important when it comes to analytical databases in general and Power BI and Analysis Services tabular in particular. You will learn how to transform any data model into a star schema.
Transforming information of your data source(s) into a star schema is usually not an easy task. Quite the opposite; it can be difficult. It might take several iterations. It might take discussions with the people who you build the data model for—and the people using the reports, as well as those who are responsible for the data sources. You might face doubts (from others and yourself) about whether it’s really worth all the effort instead of avoiding the struggle and pulling the data in as it is. At such a point, it’s important to take a deep ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access