- Course
Optimize Enterprise-scale Data Models - DP-500
This course will teach you how to design optimal enterprise-scale data models to support efficient business decision-making.
Intermediate
- Course
Optimize Enterprise-scale Data Models - DP-500
This course will teach you how to design optimal enterprise-scale data models to support efficient business decision-making.
Intermediate
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This course is included in the libraries shown below:
- Cloud
- Data
What you'll learn
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.
Optimize Enterprise-scale Data Models - DP-500
Intermediate
Table of contents
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Identifying Performance Bottlenecks in Data Model | 3m 11s
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Identifying Bottlenecks in Queries and Visualizations | 2m 34s
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Demo: Performance Analyzer | 2m 14s
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Demo: Performance Optimization Techniques for Report Visuals | 3m 2s
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Understanding External Tools in Power BI | 2m 26s
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Demo: Troubleshooting DAX Performance with DAX Studio | 7m 48s
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Summary | 1m 19s
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.