How to Optimize Spark Jobs in Databricks for Large-Scale Geospatial Data Processing?
I’m currently analyzing a large geospatial dataset focused on Michigan county boundaries and map data, and I’m using Apache Spark on Databricks to process and transform millions of records.Even though I’ve optimized basic things like repartitioning, ...
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I do not have experience with geospatial data on databricks.But I do know that since a while, Sedona can be installed on Databricks.Sedona is created for large-scale geospatial data processing. Sounds like something for you no?https://sedona.apache....
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