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Optimizing Spark applications with workload partitioning in AWS Glue

https://aws.amazon.com/blogs/big-data/optimizing-spark-applications-with-workload-partitioning-in-aws-glue/

AWS Glue provides a serverless environment to prepare (extract and transform) and load large amounts of datasets from a variety of sources for analytics and data processing with Apache Spark ETL jobs. This posts discusses a new AWS Glue Spark runtime optimization that helps developers of Apache Spark applications and ETL jobs, big data architects, data engineers, and business analysts scale their data processing and batch jobs running on AWS Glue automatically.

https://aws.amazon.com/blogs/big-data/optimizing-spark-applications-with-workload-partitioning-in-aws-glue/

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