AWS re:Post Knowledge Center Spotlight: Amazon EMR

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Find the newest and most recent articles for Amazon EMR.
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This spotlight on Amazon EMR equips you with the skills and troubleshooting tips to get the most out of a cloud big data platform service.

Overview

The AWS re:Post Knowledge Center is your one-stop-shop for authoritative, up-to-date guidance on using AWS services. This month, we're highlighting Amazon EMR, a managed cluster platform that simplifies running big data frameworks.

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. Whether you're new to Amazon EMR or an experienced user, the following Knowledge Center articles equip you with the skills and troubleshooting tips to get the most out of Amazon EMR.

Configuring and optimizing Amazon EMR

These articles focus on optimizing costs, configuring Spark and Python environments, and creating applications in Amazon EMR and EMR Serverless.

Resolving Amazon EMR cluster issues

These articles address common errors and issues that occur during Amazon EMR cluster operations, including class not found exceptions, termination problems, and log visibility issues.

Managing EMR Serverless

These articles cover various aspects of managing EMR Serverless, including job submission, storage options, and troubleshooting connectivity and performance issues.

Troubleshooting Amazon EMR Studio and Workspace issues

These articles provide guidance on troubleshooting issues related to EMR Studio and Workspaces, including connectivity problems, mounting errors, and notebook-related challenges.

Resolving access and security issues in Amazon EMR

These articles address access and security-related problems in Amazon EMR and EMR Serverless, including IAM issues, ECR image permissions, and cross-account access setup.

Troubleshooting Amazon EMR on Amazon EKS, Spark job issues, and managing Python libraries

These articles focus on troubleshooting cluster creation failures in Amazon EMR on Amazon EKS, resolving Spark job issues, and managing Python libraries in Amazon EMR and EMR Serverless environments.

Have more questions about Amazon EMR?

Check out the re:Post Amazon EMR knowledge base or ask your own question to get guidance from the AWS community.