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
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.