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.
Scaleout Software, a provider of in-memory data grids (IMDGs), announced the availability of ScaleOut hServer V2, which incorporates new technology to run Hadoop MapReduce on live data. This new ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
What are some of the cool things in the 2.0 release of Hadoop? To start, how about a revamped MapReduce? And what would you think of a high availability (HA) implementation of the Hadoop Distributed ...
Finding frequent itemsets is one of the most important fields of data mining. Apriori algorithm is the most established algorithm for finding frequent itemsets from a transactional dataset; however, ...
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 ...
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