Скачать или смотреть Deploy Hadoop Map/Reduce Job on AWS EMR (Elastic Map Reduce)

This tutorial will show you deployment of Hadoop Map/Reduce application on the Amazon Elastic Map Reduce (AWS EMR).

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Amazon EMR cluster provides a managed Hadoop framework that makes it easy, fast, and cost-effective to process vast amounts of data across dynamically scalable Amazon EC2 instances.

We can also run other popular distributed frameworks such as Apache Spark and HBase in Amazon EMR, and interact with data in other AWS data stores such as Amazon S3 and Amazon DynamoDB.

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 clusters. With EMR you can run petabyte-scale analysis at less than half of the cost of traditional on-premises solutions and over 3x faster than standard Apache Spark. You can run workloads on Amazon EC2 instances, on Amazon Elastic Kubernetes Service (EKS) clusters, or on-premises using EMR on AWS Outposts.

#awsapigateway #awsdynamodb #hadoop #pyspark #python