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Benefits of Apache Iceberg for geospatial data analysis
Apache Iceberg v3 supports the geometry type which allows the geospatial community to take advantage of amazing Iceberg features like reliable transactions, DML operations (deletes & upserts), time travel, versioned data, schema enforcement, schema evolution, and much more. This post shows how to use Apache Iceberg with the Sedona engine and explains how these features benefit spatial computations.
It is built on Parquet, offers lightning fast reads, and is scalable for larger than memory data sets. With time travel, you can run the latest model code on an earlier data version to help analyze the root cause. Stay up-to-date with the latest on Wherobots, Apache Sedona, and geospatial data by subscribing to the Spatial Intelligence Newsletter:
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