Amazon Elastic Map Reduce (EMR)
Back in 2009, AWS introduced EMR, a tool that can handle extremely large amounts of data (terabytes and petabytes) using the latest open-source big data tools like Spark, Hive, Presto, HBase, Flink, and Hudi in the cloud. Amazon EMR is a managed cluster platform that makes it easier to run big data tools, such as Apache Hadoop and Apache Spark, on the AWS cloud for processing and analyzing massive datasets. It is a wrapper around distributed open-source computing frameworks. This wrapper abstracts the effort required to set up infrastructure, security, network communication, disaster recovery, and scalability. Additionally, EMR offers 100% compliance with open-source APIs. So, there is no need to change your application code when you move to EMR from the on-premises Hadoop system.
EMR runs directly against the data stored in your S3 data lake, so you don’t need to move that data or transform your data. You can store data in the data lake...