06-26, 09:00–13:00 (Europe/Tirane), Mirusha
Empower the ETL (Extract, Transform, Load) tool, Airflow with the management, supervision, integration and development of data and metadata flows for operations developed in QGIS modeler and Raster data processing in GRASS.
the workshop aims to implement in Docker Compose a set of containers that allow the operation of DAG (ETL flows) for process automation. The following points will be worked on:
- Implementation of modified Airflow for QGIS and GRASS geoprocesses.
- Configuration of the development environment
- Assembling of DAGs’ data flow example for each case.
- Automatic generation of errors and alerts monitoring.
Requirements for the Attendees
Minimal Knowledge in the next fields:
- Python
- Remote Sensing
- Docker Compose
- QGIS
- GRASS (optional)
Currently part of the OSGeo board, CEO of Kan Territory & IT, SDI specialist, computer-based with a track record between Open Source and the integration of systems for decision-making in the territory, with more than 20 years of experience in public administration and SDI.
Entrepreneur and active communicator of the potential of geospatial technologies as facilitators for sustainable development, especially in emerging economies. Currently President of Geolibres Argentina.
Current advisor to the ECLAC for the development of new technologies for the integration of geographic and statistical data, for the publication of indicators at the regional level.
CTO of Kan Territory & IT.
linkedin: https://www.linkedin.com/in/walter-shilman