AWS Big Data Blog

Category: Amazon EMR

Amazon EMR launches support for Amazon EC2 C6i, M6i, I4i, R6i and R6id instances to improve cost performance for Spark workloads by 6–33%

Amazon EMR provides a managed service to easily run analytics applications using open-source frameworks such as Apache Spark, Hive, Presto, Trino, HBase, and Flink. The Amazon EMR runtime for Spark and Presto includes optimizations that provide over two times performance improvements over open-source Apache Spark and Presto, so that your applications run faster and at […]

Build your Apache Hudi data lake on AWS using Amazon EMR – Part 1

Apache Hudi is an open-source transactional data lake framework that greatly simplifies incremental data processing and data pipeline development. It does this by bringing core warehouse and database functionality directly to a data lake on Amazon Simple Storage Service (Amazon S3) or Apache HDFS. Hudi provides table management, instantaneous views, efficient upserts/deletes, advanced indexes, streaming […]

Introducing ACK controller for Amazon EMR on EKS

AWS Controllers for Kubernetes (ACK) was announced in August, 2020, and now supports 14 AWS service controllers as generally available with an additional 12 in preview. The vision behind this initiative was simple: allow Kubernetes users to use the Kubernetes API to manage the lifecycle of AWS resources such as Amazon Simple Storage Service (Amazon […]

Use Karpenter to speed up Amazon EMR on EKS autoscaling

Amazon EMR on Amazon EKS is a deployment option for Amazon EMR that allows organizations to run Apache Spark on Amazon Elastic Kubernetes Service (Amazon EKS). With EMR on EKS, the Spark jobs run on the Amazon EMR runtime for Apache Spark. This increases the performance of your Spark jobs so that they run faster […]

Build an optimized self-service interactive analytics platform with Amazon EMR Studio

Data engineers and data scientists are dependent on distributed data processing infrastructure like Amazon EMR to perform data processing and advanced analytics jobs on large volumes of data. In most mid-size and enterprise organizations, cloud operations teams own procuring, provisioning, and maintaining the IT infrastructures, and their objectives and best practices differ from the data […]

How Kyligence Cloud uses Amazon EMR Serverless to simplify OLAP

This post was co-written with Daniel Gu and Yolanda Wang, from Kyligence. Today, more than ever, organizations realize that modern business runs on data—almost all our interactions with business are based on data, and organizations must use analytics to understand, plan, and improve their operations. That is where Online Analytical Processing (OLAP) comes in. OLAP […]

Introducing runtime roles for Amazon EMR steps: Use IAM roles and AWS Lake Formation for access control with Amazon EMR

You can use the Amazon EMR Steps API to submit Apache Hive, Apache Spark, and others types of applications to an EMR cluster. You can invoke the Steps API using Apache Airflow, AWS Steps Functions, the AWS Command Line Interface (AWS CLI), all the AWS SDKs, and the AWS Management Console. Jobs submitted with the […]

Build a high-performance, transactional data lake using open-source Delta Lake on Amazon EMR

Data lakes on Amazon Simple Storage Service (Amazon S3) have become the default repository for all enterprise data and serve as a common choice for a large number of users querying from a variety of analytics and machine learning (ML) tools. Oftentimes you want to ingest data continuously into the data lake from multiple sources […]

Get a quick start with Apache Hudi, Apache Iceberg, and Delta Lake with Amazon EMR on EKS

A data lake is a centralized repository that allows you to store all your structured and unstructured data at any scale. You can keep your data as is in your object store or file-based storage without having to first structure the data. Additionally, you can run different types of analytics against your loosely formatted data […]

emr serverless application

Run a data processing job on Amazon EMR Serverless with AWS Step Functions

There are several infrastructure as code (IaC) frameworks available today, to help you define your infrastructure, such as the AWS Cloud Development Kit (AWS CDK) or Terraform by HashiCorp. Terraform, an AWS Partner Network (APN) Advanced Technology Partner and member of the AWS DevOps Competency, is an IaC tool similar to AWS CloudFormation that allows […]