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. Using these frameworks and related open-source projects, you can process data for analytics purposes and business intelligence workloads. …

Amazon EMR is a cloud big data platform for running large-scale distributed data processing jobs, interactive SQL queries, and machine learning applications using open-source analytics frameworks such as Apache Spark, Apache Hive, and Presto.

Amazon EMR はクラウドのビッグデータプラットフォームです。Apache Spark、Apache Hive、Presto などのオープンソース分析フレームワークを使用して、大規模な分散データ処理ジョブ、インタラクティブ SQL クエリ、機械学習アプリケーションを実行します。

Amazon EMR est une plateforme de big data dans le cloud destinée à l'exécution des tâches de traitement de données distribuées à grande échelle, des requêtes SQL interactives et des applications de machine learning à l'aide de cadres d'analytique open source tels que Apache Spark, Apache Hive et Presto.

AWS::EMR::Step AWS EMR cluster step configuration specifies cluster step failure action, Hadoop JAR step configuration, cluster step name, cluster step ID

Find out how to get started using Amazon EMR. Follow how to get started suggestions, tutorials, and trainings.

Amazon EMR simplifies building and operating big data environments and applications. EMR features include easy provisioning, managed scaling, and reconfiguring of clusters, and EMR Studio for collaborative development.

Find comprehensive documentation on Amazon EMR, a cloud big data platform for processing and analyzing large-scale data.

Amazon EMR is the industry-leading cloud big data platform for processing vast amounts of data using open source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. Amazon EMR makes it easy to set up, operate, and scale your big data environments by automating time-consuming tasks like provisioning capacity and tuning …

Use the following command to open an SSH connection to your cluster. Replace <mykeypair.key> with the full path and file name of your key pair file. For example, C:\Users\<username>\.ssh\mykeypair.pem. aws emr ssh --cluster-id <j-2AL4XXXXXX5T9> --key-pair-file <~/mykeypair.key>