You’ve built an enterprise data solution and now struggling with performance. In this course, Optimize Enterprise-scale Data Models - DP-500, you’ll learn to design optimal data models to support large enterprises. First, you’ll explore various areas for performance improvement. Next, you’ll discover how to leverage different external tools to fine-tune your data model. Finally, you’ll learn how to apply some advanced concepts, such as incremental refresh and denormalization. When you’re finished with this course, you’ll have a foundational understanding of performance optimization in Power BI that will enable you to design optimal enterprise-scale data models and get you ready for the DP-500 exam.
Overview
You’ve built an enterprise data solution and now struggling with performance. In this course, Optimize Enterprise-scale Data Models - DP-500, you’ll learn to design optimal data models to support large enterprises. First, you’ll explore various areas for performance improvement. Next, you’ll discover how to leverage different external tools to fine-tune your data model. Finally, you’ll learn how to apply some advanced concepts, such as incremental refresh and denormalization. When you’re finished with this course, you’ll have a foundational understanding of performance optimization in Power BI that will enable you to design optimal enterprise-scale data models and get you ready for the DP-500 exam.
Syllabus
- Course Overview 1min
- Identifying Performance Bottlenecks in Data Model 22mins
- Optimizing Data Model Using Tabular Editor and VertiPaq Analyzer 25mins
- Implementing Incremental Refresh and Denormalization 20mins
Taught by
Nikola Ilic
