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 ...

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 ...

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.

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 ...

你是一个程序员，你做了一个商城网站，里面的东西卖的太好了，每天都会产生巨量的用户行为和订单数据，通过分析海量的数据，老板得出一个惊人结论：程序员消费力不如狗。 从技术的角度看，这是一个将海量数据先存起来，再将数据拿出来进行计算，并 ...

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 ...

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.

Apache Hadoop has been the driving force behind the growth of the big data industry. You'll hear it mentioned often, along with associated technologies such as Hive and Pig. But what does it do, and ...