Efficient processing of high-volume spatial data with Spark
Efficient retrieval of geospatial data is crucial but presents scaling challenges. During our transition from PostgreSQL to Apache Spark, we encountered limitations in spatial indexing. While PostgreSQL’s indexing supports efficient queries, this is not directly translatable to Spark. The transition required us to create new strategies for managing and querying spatial data effectively. In this talk, we’ll share the challenges we faced and the innovative solutions we implemented to address them.
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