https://github.com/tirnovar/fabric-multi-workspace-usage-metric-of-reports
https://github.com/tirnovar/fabric-multi-workspace-usage-metric-of-reports
Last synced: 6 months ago
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- Host: GitHub
- URL: https://github.com/tirnovar/fabric-multi-workspace-usage-metric-of-reports
- Owner: tirnovar
- Created: 2023-09-14T20:43:15.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2023-09-26T12:51:15.000Z (about 2 years ago)
- Last Synced: 2025-04-04T16:53:56.794Z (6 months ago)
- Language: Jupyter Notebook
- Size: 102 KB
- Stars: 9
- Watchers: 2
- Forks: 4
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# Fabric Multi Workspace Usage Metric Of Reports
This notebook works inside Microsoft Fabric with Lakehouse
## Tables created
Name | Load type | For Report Purposes |
---- | --------- | ------------------- |
ReportLoadTimes | Increment | ✅
ReportPages | Overwrite | ✅
ReportPageViews | Increment | ✅
Reports | Overwrite | ✅
ReportViews | Increment | ✅
Users | Overwrite | ✅
WorkspaceViews | Overwrite | ✅
UsageMetricsDatasets | Overwrite | ❌
## Usable schema
## Implemented
- Generation of Usage Metric datasets
- Time-out handling for workspaces in paused capacities
- Handling for workspaces with VIEW permissions
- Backlog of already existing Usage Metric Datasets in Workspaces
- Handling responses without data
- Incremental DAX query for non-first runs
- Removed duplicates from the table Users
## Currently known issues of solution
- Initial load of data from Usage Metric Datasets can contain more than 100k rows or 1M values. (needs to be solved by provided DAX query like in: [Execute Query endpoint - Get your data from datasets](https://datameerkat.com/execute-query-endpoint-get-your-data-from-dataset))
- Initial load to get or generate datasets for Usage Metric can take quite a long time because of the generation process
## Planned updates
- [ ] Convert String Stored Date / DateTime Values into the correct format
- [ ] Support for dynamic larger data extraction
- [ ] Basic report template