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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.

Intermediate
1h 48m
(20)

Created by Nikola Ilic

Last Updated Apr 23, 2024

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  • Course

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.

Intermediate
1h 48m
(20)

Created by Nikola Ilic

Last Updated Apr 23, 2024

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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.

Microsoft Fabric Analytics Engineer: Implement and Manage Semantic Models
Intermediate
1h 48m
(20)
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About the author
Nikola Ilic - Pluralsight course - Microsoft Fabric Analytics Engineer: Implement and Manage Semantic Models
Nikola Ilic
21 courses 4.5 author rating 412 ratings

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.

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