Big Data

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Big Data refers to data sets that are too large to be processed and analyzed by traditional IT technologies. Customers are looking for new ways to quickly solve Big Data problems, using technologies such as the Hadoop framework. Amazon Web Services (AWS) offers a set of cloud-based services, such as Amazon Elastic MapReduce, that make it easy and cost effective for customers to process and extract information from massive volumes of data.

Customers are using AWS for Big Data projects such as mapping genomes, analyzing web logs and analyzing financial services data. Using AWS, companies such as Yelp and Razorfish have saved money by eliminating the need to purchase and manage large Hadoop clusters. Customers only pay for what they use, allowing them to eliminate costs when their servers are not in use. In addition, AWS manages the configuration and management of the Hadoop clusters, lowering overall operating costs and freeing up their IT staff to invest in more strategic activities. With no servers to purchase and configure, you can quickly roll out your Big Data projects in the cloud today.

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Customer Case Studies

Processing > 3TB per day using Amazon Web Services.	Performs Analytics across > 3 Million daily Check-ins using Amazon Web Services.	Avoided $500,000 capital investment; Drove 500% increase in Return on Advertising spend for a client.

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Benefits of Using AWS for Big Data

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Get Started

Depending on the technical competencies of your organization and the complexity and size of your application, there are a variety of next steps.

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Resources