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Pluralsight

Optimize Enterprise-scale Data Models - DP-500

via Pluralsight

Overview

This course will teach you how to design optimal enterprise-scale data models to support efficient business decision-making.

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

Reviews

4.9 rating at Pluralsight based on 11 ratings

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