- Course
- Data
Microsoft Fabric Analytics Engineer: Implement and Manage Semantic Models
Designing scalable and performant semantic models is one of the key requirements in enterprise-grade environments. This course will teach you how to implement and manage optimal semantic models to support efficient business decision-making.
What you'll learn
There is a huge difference between semantic models that just work and semantic models that work efficiently. In this course, Microsoft Fabric Analytics Engineer: Implement and Manage Semantic Models, you’ll learn to design optimal semantic models to support large enterprises. First, you’ll explore various data modeling concepts and techniques. Next, you’ll discover how to leverage different advanced concepts to enhance your semantic models. Finally, you’ll learn how to leverage external tools to improve the performance of semantic models. When you’re finished with this course, you’ll have a foundational understanding of advanced data modeling concepts and techniques in Microsoft Fabric that will enable you to design optimal enterprise-scale semantic models and get you ready for the DP-600 exam.
Table of contents
About the author
Nikola has multi-year experience working with various flavors of data, predominantly with Microsoft BI stack. Started with SQL Server, then brushed himself with SSAS Multidimensional, SSIS, SSRS, Power BI, Azure, etc. Nikola is really curious by nature and always trying to learn something new.