GeoLibs Dator - A data extractor
Project description
GeoLibs-Dator
Dator, a data extractor (ETL as a library), that uses Pandas' DataFrames as in memory temporal storage.
Features
Source | Extract | Transform | Load |
---|---|---|---|
BigQuery | Y | Y | |
CARTO | Y | Y | Y* |
CSV | Y | Y | |
Pandas | Y | ||
PostgreSQL | Y | Y | Y |
* Note: We are waiting for the append feature on CARTOframes, because the one we are using is a ñapa.
Configuration
Create a config.yml
file using the config.example.yml
one as guide. You can find in that one all the possible ETL cases.
If you are using BigQuery in your ETL process, you need to add a GOOGLE_APPLICATION_CREDENTIALS
environment variable with the path to your Google Cloud's credentials.json
file.
You can test them with the example.py
file.
TODOs
- Better doc.
- Tests.
Project details
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