Home icon

Hybrid big data analytics with Amazon EMR on AWS Outposts

Big Data Blog



This article discusses how organizations can use Amazon EMR on AWS Outposts to perform hybrid big data analytics while maintaining data residency and compliance requirements. The solution focuses on a fictional company, Oktank Finance, and their need to process sensitive and public data.

  • Amazon EMR on AWS Outposts allows big data processing directly in on-premises environments
  • Enables processing of sensitive data locally while accessing public data from cloud S3 buckets
  • Supports decoupling of compute and storage resources
  • Uses AWS Glue Data Catalog and Lake Formation for metadata management and access control
  • Provides two data processing methods: interactive notebook queries and batch job submissions

The solution demonstrates how companies can leverage hybrid cloud infrastructure to perform complex data analytics while maintaining strict data governance and performance requirements.



Go to article

The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.

Related articles

Feb 21
2024
Deploying an EMR cluster on AWS Outposts to process data from an on-premises database
Nov 28
2024
Amazon EMR streamlines big data processing with simplified Amazon S3 Glacier access
Feb 25
2025
Building and operating data pipelines at scale using CI/CD, Amazon MWAA and Apache Spark on Amazon EMR by Wipro
Jan 27
2025
A deep dive into Amazon EKS Hybrid Nodes

The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.