When your data and work grow, and you still want to produce results in a timely manner, you start to think big. Your one beefy server reaches its limits. You need a way to spread your work across many ...

MapReduce was invented by Google in 2004, made into the Hadoop open source project by Yahoo! in 2007, and now is being used increasingly as a massively parallel data processing engine for Big Data.

Can MapReduce be used as an effective means of processing data-intensive HPC workloads? In his dissertation from Ohio State University, Wei Jiang writes that one first needs to overcome with ...

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 ...

The USPTO awarded search giant Google a software method patent that covers the principle of distributed MapReduce, a strategy for parallel processing that is used by the search giant. If Google ...

In this video, the Rafael Coss, manager Big Data Enablement for IBM describes how MapReduce works in plain English. MapReduce is a framework for processing embarrassingly parallel problems across huge ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article dives into the happens-before ...

It’s well known in the industry that more than 10 years ago Google invented MapReduce, the technology at the heart of first-generation Hadoop. It’s less well known that Google moved away from ...

Urs Holzle, the senior vice president of technical infrastructure and Google Fellow at Google and Google's eighth employee, announced Google is not using MapReduce anymore. But don't you worry, this ...