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.

据GigaOM消息，Google上周宣布，将自己用C++开发的MapReduce框架MapReduce for C（MR4C）开源，此举可给Hadoop社区带来福音，因为这样用户就可以在自己的Hadoop环境中运行原生的C及C++代码了。 Hadoop是许多大数据应用的基础，它是由Apache基金会所开发的分布式系统基础架构 ...

如何让企业真正利用大数据全栈技术，开始盈利？而不是让企业组建一个“大数据部门”或买了某款大数据产品，便认为站在了最前沿最猛烈的风口，生怕错过了这波革命浪潮的同时，心里却默想“大数据到底怎么实操落地？” 这是华为近四年多正在研究的一个 ...

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 ...

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 ...

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 ...

Novel architectures are born out of necessity and for some applications, including molecular dynamics, there have been endless attempts to push parallel performance. According to the leads behind a ...

Facebook has shared some more behind-the-scenes information about just how the social network is built, this time centered around the enormous amount of data that it collects. Over half a petabyte of ...

Hadoop has been known as MapReduce running on HDFS, but with YARN, Hadoop 2.0 broadens pool of potential applications Hadoop has always been a catch-all for disparate open source initiatives that ...