It matches the action log model defined in [here](https://github.com/amundsen-io/amundsenfrontendlibrary/blob/ccfd2d6b82957fef347e956b243e4048c191fc0d/amundsen_application/log/action_log_model.py).
It matches the action log model defined in [here](https://github.com/amundsen-io/amundsenfrontendlibrary/blob/ccfd2d6b82957fef347e956b243e4048c191fc0d/amundsen_application/log/action_log_model.py).
Once you have the event in your data warehouse, you could start building different KPI user metric:
Once you have the event in your data warehouse, you could start building different KPI user metric:
- WAU
- DAU
1. WAU
- Top 50 active user
- Top search term
2. DAU
- Top popular tables
- Search click index
3. Top 50 active user
- Metadata edits
- Metadata edit leaders
4. Top search term
- Amundsen user per role (by joining with employee data)
- ...
5. Top popular tables
6. Search click index
7. Metadata edits
8. Metadata edit leaders
9. Amundsen user per role (by joining with employee data)