Author: Anubhav Awasthi

Amazon EMR Serverless emerges as a pivotal solution for running streaming workloads, enabling the use of the latest open source frameworks like Spark without the need for configuration, optimization, security, or cluster management. In this post, we highlight some of the key enhancements introduced for streaming jobs.

In this post, we discuss how to implement fine-grained access control in EMR Serverless using Lake Formation. With this integration, organizations can achieve better scalability, flexibility, and cost-efficiency in their data operations, ultimately driving more value from their data assets.

Amazon EMR provides a managed Apache Hadoop framework that makes it straightforward, fast, and cost-effective to run Apache HBase. Apache HBase is a massively scalable, distributed big data store in the Apache Hadoop ecosystem. It is an open-source, non-relational, versioned database that runs on top of the Apache Hadoop Distributed File System (HDFS). It’s built […]

Nov 2022: Newer version of the product is now available to be used for this post. AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning (ML), and application development. In AWS Glue, you can use Apache Spark, which is an open-source, distributed processing […]