This repository is a playground to experiment on a collection of loosely related components, to
- enable developers to perform geospatial processing locally through a containerized environment.
- demonstrate how to interact with large amounts of static geospatial data in low cost blob storage.
- provide a framework to enable periodic batch processing of geospatial workflows.
Open data from Switzerland will be used, because the data is high quality, readiliy available and interesting.
- Optimize for cost efficiency for usecases where small to medium sized static, read-only datasets are produced through geospatial workflows through a low frequency batch process.
- Leverage Google Cloud infrastructure where possible.
- Allow multiple developers to efficiently perform exploratory analysis on stored datasets.
| Milestone | Status |
|---|---|
| Containerized python geo-ecosystem available on github container registry. | Done |
| Find way to interact with blob storage and filesystem in a unified way. | Done |
| Create processing scripts to get building roof solar potential for city of Biel. | Started |
| Test deployment of script in containerized processing environment on Google Batch. | Not started |
| Create fault-tolerant ETL pipelines to batch-process building root solar potential for Switzerland periodically. | Not started |
| Test deployment of ETL pipeline in containerized processing environment on Google Batch. | Not started |