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Amazon Web Services Launches Amazon Elastic MapReduce - a Web Service for Processing Vast Amounts of Data |
Prior to Amazon Elastic MapReduce, running Hadoop or other MapReduce-based clusters required time-consuming set-up, management, and cluster tuning. Now, Amazon Elastic MapReduce makes it more affordable and less time consuming to run parallel compute jobs, building on top of the on-demand, resizable compute capacity of Amazon EC2. Using this service, customers can spin up and tear down Hadoop clusters on Amazon EC2 on a moment’s notice. To assist customers in executing these highly distributed applications, AWS is providing a number of sample applications and tutorials to get started using Amazon Elastic MapReduce.
“Some researchers and developers already run Hadoop on Amazon EC2, and
many of them have asked for even simpler tools for large-scale data
analysis,” said Amazon Elastic MapReduce creates data processing job flows that are executed by Hadoop software on the web-scale infrastructure of Amazon EC2. The service automatically launches and configures the number and type of Amazon EC2 instances specified by customers. It then kicks off a Hadoop implementation of the MapReduce programming model, which loads large amounts of user input data from Amazon S3 and then subdivides it for parallel processing using Amazon EC2 instances. As processing completes, data is re-combined and reduced into a final solution, and the results deposited back into Amazon S3. Users can configure, manipulate, and monitor job flows through web service APIs or via the AWS Management Console.
“Netflix is continually pursuing new technologies that extend our
ability to deliver the best movie rental experience to our more than 10
million subscribers. Amazon Elastic MapReduce provides a powerful
capability on top of the already robust Amazon Web Services technology
platform. We’re enthused about the potential for this new technology to
provide an even better experience to our members,” said
"MapReduce is a key component of our matching infrastructure," said
eHarmony Vice President of Technology About Amazon EC2 Amazon Elastic Compute Cloud (http://aws.amazon.com/ec2) is a web service that provides resizable compute capacity in the cloud. Amazon EC2's simple web service interface allows businesses to obtain and configure capacity with minimal friction. It provides complete control of your computing resources and lets you run on Amazon's proven computing environment. Amazon EC2 reduces the time required to obtain and boot new server instances to minutes, allowing you to quickly scale capacity, both up and down, as your computing requirements change. Amazon EC2 changes the economics of computing by allowing you to pay only for capacity that you actually use. About Amazon S3 Amazon S3 is storage for the Internet. It is designed to make web-scale computing easier for developers. Amazon S3 provides a simple web services interface that can be used to store and retrieve any amount of data, at any time, from anywhere on the web. It gives any developer access to the same highly scalable, reliable, fast, inexpensive data storage infrastructure that Amazon uses to run its own global network of web sites. The service aims to maximize benefits of scale and to pass those benefits on to developers.
About
Amazon Web Services provides Amazon’s developer customers with access to in-the-cloud infrastructure services based on Amazon's own back-end technology platform, which developers can use to enable virtually any type of business. Examples of the services offered by Amazon Web Services are Amazon Elastic Compute Cloud (Amazon EC2), Amazon Simple Storage Service (Amazon S3), Amazon SimpleDB, Amazon Simple Queue Service (Amazon SQS), Amazon Flexible Payments Service (Amazon FPS), Amazon Mechanical Turk and Amazon CloudFront. Amazon and its affiliates operate websites, including www.amazon.com, www.amazon.co.uk, www.amazon.de, www.amazon.co.jp, www.amazon.fr, www.amazon.ca, and www.amazon.cn.
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Source:
Amazon.com, Inc. |