Optimizing Flink’s join operations on Amazon EMR with Alluxio | Amazon Web Services
When you’re working with data analysis, you often face the challenge of effectively correlating real-time data with historical data to…
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When you’re working with data analysis, you often face the challenge of effectively correlating real-time data with historical data to…
HBase clusters on Amazon Simple Storage Service (Amazon S3) need regular upgrades for new features, security patches, and performance improvements.…
When processing data at scale, many organizations use Apache Spark on Amazon EMR to run shared clusters that handle workloads…
Amazon EMR Serverless now supports Apache Spark 4.0.1 in preview, making analytics accessible to more users, simplifying data engineering workflows,…
Amazon EMR Serverless is a deployment option for Amazon EMR that you can use to run open source big data…
At Slack, our data platform processes terabytes of data each day using Apache Spark on Amazon EMR on Amazon Elastic…
At AWS re:Invent 2025, Amazon Web Services (AWS) announced serverless storage for Amazon EMR Serverless, a new capability that eliminates…
Apache Spark Connect, introduced in Spark 3.4, enhances the Spark ecosystem by offering a client-server architecture that separates the Spark…
The newly launched Apache Spark troubleshooting agent can eliminate hours of manual investigation for data engineers and scientists working with…
For organizations running Apache Spark workloads, version upgrades have long represented a significant operational challenge. What should be a routine…