Innovation: Find Useful Storage Format for Historical Analytics
- Dominant language
- Python
- Stars
- 65
- Forks
- 11
- Avg merge
- 21h 25m
- Merged PRs (30d)
- 70
Description
**Describe the task**
Be able to compute an accuracy score for observations over multi month to multi year long timelines.
**Acceptance Criteria**
- [ ] Use a single model (e.g. GFS) to focus the analysis on
**Additional context**
- Geoparquet as an option: https://geoparquet.org/
- Parquet: https://parquet.apache.org/
Contributor guide
Research direction
The issue names no project files, tests, or entry points. Start by tracing how historical observations and analytics data are handled, then compare the stated GeoParquet and Parquet options while focusing on one GFS model. Done means accuracy scores can be computed across multi-month to multi-year timelines using a selected storage format.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data-engineering, databases
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100