Amazon EMR makes it easy to run and scale big data applications built using open-source frameworks such as Apache Spark, Hive, Presto, Hudi, and more. It helps users run ETL and ML jobs and accelerate data science adoption, real-time data processing, and low-latency SQL at petabyte scale. In this session, learn about the latest and greatest Amazon EMR developments, including Amazon EMR Serverless, Amazon EMR Studio, and more. Also, find out how to add support for transactions and real-time streams in data lakes with Hudi and Apache Iceberg and how to enforce fine-grained access control.
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