Category: Amazon EMR

In this post, I detail how EMR clusters resize, and I present some best practices for getting the maximum benefit and resulting cost savings for your own cluster through this feature.

In this post, we’ll show you how to deploy an Ethereum blockchain using the AWS Blockchain Templates, deploy a smart contract, and build a serverless analytics pipeline for that contract based around AWS Lambda, Amazon Kinesis, and Amazon Athena.

In this post, I’ll show you how to use AWS Step Functions to orchestrate your Spark jobs that are running on Amazon EMR.

I’ll describe how to read the DynamoDB backup file format in Data Pipeline, how to convert the objects in S3 to a CSV format that Amazon ML can read, and I’ll show you how to schedule regular exports and transformations using Data Pipeline.

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.

This post describes the step-by-step process for migrating the Hue database from an existing EMR cluster.

In this post, we will explore how the AWS Glue Data Catalog addresses discoverability and manageability for table metadata for Presto on Amazon EMR.

In this post, we will discuss what EMRFS authorization is (Amazon S3 storage-level access control) and show how to configure the role mappings with detailed examples.

This solution provides a serverless approach to automatically assigning a friendly name for your EMR cluster for easy access to popular notebooks and other web interfaces.

This post walks you through the process of using AWS CloudFormation to set up a cross-realm trust and extend authentication from an Active Directory network into an Amazon EMR cluster with Kerberos enabled. By establishing a cross-realm trust, Active Directory users can use their Active Directory credentials to access an Amazon EMR cluster and run jobs as themselves.