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Amazon today said it would bring web-scale computing power for use in workloads such as web indexing and data mining to just about anyone. The bookseller now offers MapReduce (a programming model created by Google to help deal with incredibly large data sets) using Hadoop on […]

logo_awsAmazon today said it would bring web-scale computing power for use in workloads such as web indexing and data mining to just about anyone. The bookseller now offers MapReduce (a programming model created by Google to help deal with incredibly large data sets) using Hadoop on Amazon’s Elastic Compute Cloud and Simple Storage Service. This allows AWS customers to access the power of a Google- or Yahoo-style server and programming infrastructure to model business decisions and analyze huges sets of customer or corporate data without having to invest in thousands of servers (as well as dozens of programmers). Dana Gardner over at ZDNet says one could think of it as having access to a personal supercomputer.

  1. Excellent :)

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  2. [...] it just keeps getting better (via GigaOm): Amazon today said it would bring web-scale computing power for use in workloads such as web [...]

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  3. [...] make sense of the mouse clicks and content they track across hundreds of millions of users. Amazon began offering it as a pre-configured option on EC2 in early April. Firms like Cloudera help companies apply Hadoop to their data-processing [...]

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  4. [...] this month, Amazon unveiled MapReduce for its cloud, which provides a supercomputer-like ability to manage and thus crunch large data [...]

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  5. [...] Amazon Brings MapReduce to AWS (gigaom.com) [...]

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  6. [...] Amazon Brings MapReduce to AWS (gigaom.com) Sphere: Related Content Filed under: Selling Online Tags: Books, Sales, Shopping [...]

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  7. [...] against the NCBI BLAST database, which currently is housed within Azure. Why not counter Elastic MapReduce – AWS’s Hadoop-on-EC2 service – with Dryad applications in [...]

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