February 2026
Intermediate to advanced
390 pages
10h 23m
English
Content preview from Microsoft Fabric Analytics Engineer Associate Study Guide
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Part II. Implementing and Managing Semantic Models
In the next two chapters, we’ll learn how to design and optimize semantic models in Power BI and Microsoft Fabric.
In Chapter 5, we’ll guide you through building efficient, well-structured models using best practices like star schemas, relationships, field parameters, and calculation groups. We’ll also have a look at what we can do when we get very large semantic models by using large storage models, and we’ll explore how composite models can help us when we have different data sources with different import settings.
In Chapter 6, we’ll focus on making our semantic models perform well at scale. This chapter covers essential techniques for speeding up queries and visuals, optimizing your Data Analysis Expression (DAX) code, and configuring advanced features like incremental refresh.
Together, these two chapters provide the foundation for building scalable, maintainable, and high-performing semantic models that can support real-world business needs. Reading these chapters will help you understand not just how to build semantic models but also how to make them efficient and reliable in enterprise environments.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.