The MapReduce paradigm has emerged as a transformative framework for processing vast datasets by decomposing complex tasks into simpler map and reduce functions. This approach has been instrumental in ...

You’ll want to be familiar with the Apache Hadoop framework before you jump into Elastic MapReduce. It doesn’t take long to get the hang of it, though. Most developers can have a MapReduce application ...

Google introduced the MapReduce algorithm to perform massively parallel processing of very large data sets using clusters of commodity hardware. MapReduce is a core Google technology and key to ...

Microsoft's research chief Craig Mundie outlined his view of where computing is headed over the next decade or so and here is a big takeaway: The cloud and multiprocessor computing could use a few ...

Pervasive Software is unveiling on Wednesday version 5.0 of its DataRush parallel application software, which now works with the popular Hadoop MapReduce framework for processing large volumes of data ...

Two Google Fellows just published a paper in the latest issue of Communications of the ACM about MapReduce, the parallel programming model used to process more than 20 petabytes of data every day on ...

Slowly but surely, Amazon keeps adding capabilities to its cloud computing services. What started out as pay-by-the-drink storage (S3) and computational processing (EC2), now includes a simple ...