Microsoft Fabric Analytics Engineer: Implement and Manage Semantic Models
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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.
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.
Author Name: Nikola Ilic
Author Description:
Nikola Ilic is an officially Business Intelligence Developer, focusing on Microsoft Data Platform technologies, especially Power BI – but “off the record” he is a data fanatic, interested in everything related to extracting meaningful information from the raw data. Nikola is self-proclaimed “Data-Mozart”. As he lives in the wonderful city of Salzburg, Austria, which is well-known as the birthplace of W.A.Mozart, he was brave enough to use the composer’s last name as part of his nickname. That’… more
Table of Contents
- Course Overview
1min - Design and Build Semantic Models
25mins - Enhance Semantic Models by Applying Advanced Concepts and Techniques
55mins - Optimize Enterprise-scale Semantic Models
25mins
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