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Amazon EMR (previously called Amazon Elastic MapReduce) is a managed cluster platform that simplifies running big data frameworks, such as Apache Hadoop and Apache Spark, on AWS to process and analyze vast amounts of data.
Overview of Amazon EMR. This topic provides an overview of Amazon EMR clusters, including how to submit work to a cluster, how that data is processed, and the various states that the cluster goes through during processing.
Build applications using the latest open-source frameworks, with options to run on customized Amazon EC2 clusters, Amazon EKS, AWS Outposts, or Amazon EMR Serverless. Get up to 2X faster time-to-insights with performance-optimized and open-source API-compatible versions of Spark, Hive, and Presto.
With Amazon EMR you can set up a cluster to process and analyze data with big data frameworks in just a few minutes. This tutorial shows you how to launch a sample cluster using Spark, and how to run a simple PySpark script stored in an Amazon S3 bucket.
Learn about key features of Amazon EMR for big data processing. Related Amazon EMR features include easy provisioning, scaling, and reconfiguring of clusters, and notebooks for collaborative development.
How to set up clusters so you can manage them more easily, and monitor activity, performance, and health. See Configure cluster logging and debugging and Tag clusters. How to authenticate and authorize access to cluster resources, and how to encrypt data. See Security in Amazon EMR.
Learn about the best practices to follow when you create an Amazon EMR cluster that uses instance fleets or instance groups.
EMR Studio kernels and applications run on EMR clusters, so you get the benefit of distributed data processing using the performance optimized Amazon EMR runtime for Apache Spark. You can collaborate with peers by sharing notebooks via GitHub and other repositories.
Feb 4, 2020 · In this tutorial, you will learn how to launch your first Amazon EMR cluster on Amazon EC2 Spot Instances using the Create Cluster wizard. Running Amazon EMR on Spot Instances drastically reduces the cost of big data, allows for significantly higher compute capacity, and reduces the time to process large data sets.
To create an Amazon EMR cluster. Create an Amazon EMR cluster in the same AWS Region as the Amazon Redshift cluster. If the Amazon Redshift cluster is in a VPC, the Amazon EMR cluster must be in the same VPC group.
