Tag: Amazon EMR

Many customers use Amazon EMR to run big data workloads, such as Apache Spark and Apache Hive queries, in their development environment. Data analysts and data scientists frequently use these types of clusters, known as analytics EMR clusters. Users often forget to terminate the clusters after their work is done. This leads to idle running […]

We are living in a golden age of innovation, where personalized medicine is making it possible to cure diseases that we never thought curable. Digital medicine is helping people with diseases get healthier, and we are constantly discovering how to use the body’s immune system to target and eradicate cancer cells. According to a report […]

In this blog post, we are going to focus on cost-optimizing and efficiently running Spark applications on Amazon EMR by using Spot Instances. We recommend several best practices to increase the fault tolerance of your Spark applications and use Spot Instances. These work without compromising availability or having a large impact on performance or the length of your jobs.

The EMRFS S3-optimized committer is a new output committer available for use with Apache Spark jobs as of Amazon EMR 5.19.0. This committer improves performance when writing Apache Parquet files to Amazon S3 using the EMR File System (EMRFS). In this post, we run a performance benchmark to compare this new optimized committer with existing committer […]

This blog post provides an overview of the issues with how open-source Spark handles node loss and the improvements in Amazon EMR to address the issues.

This blog post was last reviewed and updated April, 2022. The code repositories used in this blog have been reviewed and updated to fix the solution With the ever-evolving and growing role of data in today’s world, data governance is an essential aspect of effective data management. Many organizations use a data lake as a […]

Apache Spark and Hadoop are popular frameworks to process data for analytics, often at a fraction of the cost of legacy approaches, yet at scale they may still become expensive propositions. This blog post discusses ways to reduce your total costs of ownership, while also improving staff productivity at the same time. This can be […]

This post walks you through some of the principles of Amazon EMR security. It also describes features that you can use in Amazon EMR to help you meet the security and compliance objectives for your business. We cover some common security best practices that we see used. We also show some sample configurations to get you started.

This post was last reviewed and updated July, 2022 with a new bootstrap action script and log instructions. In a managed Apache Hadoop environment—like an Amazon EMR cluster—when the storage capacity on your cluster fills up, there is no convenient solution to deal with it. This situation occurs because you set up Amazon Elastic Block […]

Whether you’ve just signed up for your first AWS account or you’ve been with us for some time, there’s always something new to learn as our services evolve to meet the ever-changing needs of our customers. To help ensure you’re set up for success as you build with AWS, we put together this quick reference guide for Big Data training and resources available here on the AWS site.