Category: HAQM EMR

This post is part of our Week in Review series. Check back each week for a quick roundup of interesting news and announcements from AWS! I’ve just come back from a long (extended) holiday weekend here in the US and I’m still catching up on all the AWS launches that happened this past week. I’m […]

At AWS re:Invent 2021, we introduced three new serverless options for our data analytics services – HAQM EMR Serverless, HAQM Redshift Serverless, and HAQM MSK Serverless – that make it easier to analyze data at any scale without having to configure, scale, or manage the underlying infrastructure. Today we announce the general availability of HAQM […]

Today, we’re very excited to offer three new enhancements to our HAQM SageMaker Studio service. As of now, users of SageMaker Studio can create, terminate, manage, discover, and connect to HAQM EMR clusters running within a single AWS account and in shared accounts across an organization—all directly from SageMaker Studio. Furthermore, SageMaker Studio Notebook users […]

Last AWS re:Invent, we announced the general availability of HAQM EMR on HAQM Elastic Kubernetes Service (HAQM EKS), a new deployment option for HAQM EMR that allows customers to automate the provisioning and management of Apache Spark on HAQM EKS. With HAQM EMR on EKS, customers can deploy EMR applications on the same HAQM EKS […]

Tens of thousands of customers use HAQM EMR to run big data analytics applications on frameworks such as Apache Spark, Hive, HBase, Flink, Hudi, and Presto at scale. EMR automates the provisioning and scaling of these frameworks and optimizes performance with a wide range of EC2 instance types to meet price and performance requirements. Customer […]

AWS Step Functions allows you to add serverless workflow automation to your applications. The steps of your workflow can run anywhere, including in AWS Lambda functions, on HAQM Elastic Compute Cloud (HAQM EC2), or on-premises. To simplify building workflows, Step Functions is directly integrated with multiple AWS Services: HAQM Elastic Container Service (HAQM ECS), AWS […]

Storing your data in HAQM S3 provides lots of benefits in terms of scale, reliability, and cost effectiveness. On top of that, you can leverage HAQM EMR to process and analyze your data using open source tools like Apache Spark, Hive, and Presto. As powerful as these tools are, it can still be challenging to deal with use cases where […]

Today we’re excited to introduce a new feature for HAQM EMR clusters called instance fleets. Instance fleets gives you a wider variety of options and intelligence around instance provisioning. You can now provide a list of up to 5 instance types with corresponding weighted capacities and spot bid prices (including spot blocks)! EMR will automatically provision […]