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## Geospatial Big Data
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## Geospatial Big Data
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* [Apache Sedona](https://sedona.apache.org/latest-snapshot/) - Cluster computing system for processing large-scale spatial data
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* [geobeam](https://github.com/GoogleCloudPlatform/dataflow-geobeam) - geobeam adds GIS capabilities to your Apache Beam pipelines and enables you to ingest and analyze massive amounts of geospatial data in parallel using Dataflow.
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* [geobeam](https://github.com/GoogleCloudPlatform/dataflow-geobeam) - geobeam adds GIS capabilities to your Apache Beam pipelines and enables you to ingest and analyze massive amounts of geospatial data in parallel using Dataflow.
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* [GeoMesa](https://github.com/locationtech/geomesa) - GeoMesa is a suite of tools for working with big geo-spatial data in a distributed fashion.
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* [GeoMesa](https://github.com/locationtech/geomesa) - GeoMesa is a suite of tools for working with big geo-spatial data in a distributed fashion.
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* [GeoTrellis](https://github.com/locationtech/geotrellis) - GeoTrellis is a geographic data processing engine for high performance applications.
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* [GeoTrellis](https://github.com/locationtech/geotrellis) - GeoTrellis is a geographic data processing engine for high performance applications.
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