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.
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
• Identifying Performance Bottlenecks in Data Model
  22mins
• Optimizing Data Model Using Tabular Editor and VertiPaq Analyzer
  25mins
• Implementing Incremental Refresh and Denormalization
  20mins