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 ...

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 ...

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 ...

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 ...

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 ...

Google on Wednesday launched Cloud Dataflow, a big data analytics service to crunch information in either streaming or batch mode. The announcement, made at Google's I/O keynote in San Francisco, ...