Migrating The Elephant From Hadoop to EMR whitepaper image.jpg
Harnessing Cloud Scalability and Flexibility for Hadoop

The many benefits of moving on-premise Hadoop data processing workloads to the Cloud, such as greater availability, scalability and reduced capex, are well-known. However, migrating a (potentially multi-petabyte) production, live cluster to AWS is never an easy task due to the sheer number of components and services involved.

Amazon EMR is a scalable, easy-to-use, fully-managed service for running Apache Hadoop and associated services such as Spark.

In this whitepaper, we take a deeper look at the considerations and potential caveats associated with migrating your on-prem Hadoop workload to Amazon EMR that must be taken into account before starting your Big Data journey on AWS including:

  • Amazon EMR architecture
  • Amazon EMR cost analysis
  • Deployment considerations
  • Data Migration techniques 

Plus more!

Download now to learn how Amazon EMR can help run your on-prem Hadoop workloads in a simple and more cost-efficient way on the Cloud.