Yves Moisan has shared notes from Geoparquet & friends (arrow, iceberg, etc) meet up, Dec 2 . The meeting discussed various updates and developments in Geoparquet and related technologies. Key points included the integration of Geoparquet with DuckDB, which allows for fast spatial partitioning using S2 cells and range inequality joins. Updates on GeoParquet's Python bindings and object store integrations were also covered, highlighting improved performance and potential use cases with NASA and other clients. The conversation touched on the challenges of implementing geography in Iceberg, the importance of CRS propagation, and best practices for row group sizes and compression. The need for better documentation and tools to optimize Geoparquet usage was emphasized.
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Geoparquet & friends (arrow, iceberg, etc) meet up
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Dec 2, 9:51 am,
42 min
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The meeting discussed various updates and developments in Geoparquet and related technologies. Key points included the integration of Geoparquet with DuckDB, which allows for fast spatial partitioning using S2 cells and range inequality joins. Updates on GeoParquet's Python bindings and object store integrations were also covered, highlighting improved performance and potential use cases with NASA and other clients. The conversation touched on the challenges of implementing geography in Iceberg, the importance of CRS propagation, and best practices for row group sizes and compression. The need for better documentation and tools to optimize Geoparquet usage was emphasized.
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See full summary →
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