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TORRENT DETAILS
Cloud Academy - Optimizing A Power BI Data Model
TORRENT SUMMARY
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In Optimizing a Power BI Data Model we start by investigating the underlying structure and operation of Power BI's VertiPaq database engine. Armed with this knowledge, we investigate various strategies for optimizing performance. Not to give the game away, most of the strategies involve reducing the size of the data model and loading pre-summarized data. We also look at tools within Power BI and Power Query Editor for analyzing report and query performance as well as internal error tracking and diagnosis.
Learning Objectives
Remove unnecessary rows and tailor data sets for report audiences
Change data types to improve storage and split columns into multiple columns to reduce the overall number of unique values
Remove redundant or duplicate data and replace columns with measures where possible
Use Performance Analyzer to highlight report bottlenecks
Create aggregations for imported and direct query data models
Configure and use Power BI's and Power Query's diagnostic tools
Intended Audience
This course is intended for anyone who wants to improve the speed and responsiveness of their reports by improving the underlying data model.
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FILE LIST
Filename
Size
~Get Your Files Here !/1. Introduction.mp4
16.6 MB
~Get Your Files Here !/1. Introduction.srt
2.3 KB
~Get Your Files Here !/2. Overview.mp4
31.6 MB
~Get Your Files Here !/2. Overview.srt
2.8 KB
~Get Your Files Here !/3. Removing Rows DEMO.mp4
94.9 MB
~Get Your Files Here !/3. Removing Rows DEMO.srt
4.8 KB
~Get Your Files Here !/4. Dates and Data Types DEMO.mp4
149.2 MB
~Get Your Files Here !/4. Dates and Data Types DEMO.srt
8.7 KB
~Get Your Files Here !/5. Removing Columns DEMO.mp4
92.1 MB
~Get Your Files Here !/5. Removing Columns DEMO.srt
6.7 KB
~Get Your Files Here !/6. Performance Analyzer DEMO.mp4
60.2 MB
~Get Your Files Here !/6. Performance Analyzer DEMO.srt
