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 and its MapReduce framework may rule the roost when it comes to massive-scale data processing, but there’s still plenty of that goodness to go around. This article gets you started with Hadoop, ...

Data is the new currency of the modern world. Businesses that successfully maximize its value will have a decisive impact on their own value and on their customers’ success. As the de-facto platform ...

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.

【IT168 资讯】Hadoop是一个用于构建分布式应用程序的框架。Hadoop框架给应用程序透明的提供了一组稳定和可靠的接口。这项技术的实现得易于映射/ 归约编程范式。在这个范式里，一个应用程序被分割成为许多的小的任务块。每一个这样的任务块被集群中的任意 ...

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 ...

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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 ...

With the latest update to its Apache Hadoop distribution, Cloudera has provided the possibility of using data processing algorithms beyond the customary MapReduce, the company announced Tuesday.