Amazon Elastic MapReduce (Amazon EMR) is a web service that makes it easy to quickly and cost-effectively process vast amounts of data.
Amazon EMR simplifies big data processing, providing a managed Hadoop framework that makes it easy, fast, and cost-effective for you to distribute and process vast amounts of your data across dynamically scalable Amazon EC2 instances. You can also run other popular distributed frameworks such as Apache Spark and Presto in Amazon EMR, and interact with data in other AWS data stores such as Amazon S3 and Amazon DynamoDB.
Amazon EMR securely and reliably handles your big data use cases, including log analysis, web indexing, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.
With versioned releases on Amazon EMR, you can easily select and use the latest open source projects on your EMR cluster, including applications in the Apache Hadoop and Spark ecosystems. Software is installed and configured by Amazon EMR, so you spend less time on administrative tasks and can focus on increasing the value of your data.
Amazon EMR pricing is simple and predictable: You pay an hourly rate for every instance hour you use. You can launch a 10-node Hadoop cluster for as little as $0.15 per hour. Because Amazon EMR has native support for Amazon EC2 Spot and Reserved Instances, you can also save 50-80% on the cost of the underlying instances.
With Amazon EMR, you can provision one, hundreds, or thousands of compute instances to process data at any scale. You can easily increase or decrease the number of instances and you only pay for what you use.
Amazon EMR automatically configures Amazon EC2 firewall settings that control network access to instances, and you can launch clusters in an Amazon Virtual Private Cloud (VPC), a logically isolated network you define. For objects stored in Amazon S3, you can use Amazon S3 server-side encryption or Amazon S3 client-side encryption with EMRFS, with AWS Key Management Service or customer-managed keys.
Amazon EMR can be used to analyze click stream data in order to segment users and understand user preferences. Advertisers can also analyze click streams and advertising impression logs to deliver more effective ads.
Amazon EMR can be used to process logs generated by web and mobile applications. Amazon EMR helps customers turn petabytes of un-structured or semi-structured data into useful insights about their applications or users.
Are you ready to launch your first cluster? Click here to view the Getting Started Tutorial. In the tutorial you will create a cluster that will count the frequency of words in a sample text file. In just a few minutes your cluster will be up and running.