Hadoop Processing in AWS using EMR
Amazon EMR is the best solution for mass data processing using Hadoop or Spark in AWS. It is a managed service that makes it easy to deploy data processing clusters integrated with highly reliable and low-cost AWS storage solutions. You can use multiple versions of Hadoop and Spark to simplify the migration of processes previously developed in on-premise environments. Keepler uses Amazon EMR for the fast processing of large volumes of information in transformation and data loading processes, transforming data in Data Lake environments, calculating indicators, and mathematical and statistical models for machine learning.
A managed service that facilitates the creation and management of clusters of Hadoop servers without having to manually provision servers.
It allows the use of transient servers and storage in AWS low-cost services. The cost of the service is tied to its use and the computing and storage characteristics required.
It lets you adjust processing capacity independently from storage, so the costs of scaling the service adjust to the specific needs of the work loads being executed.
It integrates with AWS security mechanisms including virtual private networks (VPC), the use of security groups to limit access to the machines in clusters, and data encryption in AWS storage services compatible with EMR like DynamoDB and S3.
It constantly monitors the cluster, retries tasks that have errors and automatically replaces requests that have deficient performance. Amazon EMR clusters have high availability and do automatic error switching in the event errors occur in a node.
It integrates with AWS monitoring and audit services, enabling precise control of the health and performance of processes as well as a full audit of them.
Which use cases can be adressed with AWS EMR?
Benefits of the AWS EMR service
Hadoop migration on-premise
Amazon EMR has a large number of popular data processing libraries like Impala and Spark.
Processing data in Data Lakes
Amazon EMR is the best solution for processing large volumes of data in S3 Data Lakes, either to transform to data formats like parquet or to generate a dataset of business value.
Calculating key business indicators
Amazon EMR can calculate indicators with multiple analytical axes to then be able to download the business intelligence tool to do the calculations as data is being visualized.