MapReduce的并行处理模式给自己增添了各种问题。虽然Java常用于MapReduce程序，你不见得非要成为Java专家才能享受到Hadoop上MapReduce的好处。 三种 MapReduce开发的替代方法包括Pig, streaming MapReduce和域特定语言，比如Scalding。 Pig是一种Hadoop下不借助Java而处理大数据的平台。

I gave an introductory talk on Hadoop yesterday at the Visual Studio Live! conference in Las Vegas. During the talk, I discussed how Hadoop Streaming, a utility which allows arbitrary executables to ...

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, ...

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This implementation is intended for illustration purposes only and the examples lack exception handling acceptable for production systems. Beyond showcasing an implementation of the MapReduce concept, ...

Hadoop has been widely embraced for its ability to economically store and analyze large data sets. Using parallel computing techniques like MapReduce, Hadoop can reduce long computation times to hours ...

Hadoop is the most significant concrete technology behind the so called “Big Data” revolution. Hadoop combines an economical model for storing massive quantities of data – the Hadoop Distributed File ...

Google announced on Wednesday that the company is open sourcing a MapReduce framework that will let users run native C and C++ code in their Hadoop environments. Depending on how much traction ...

运行mapreduce任务任务过程中，出现下面现象,为啥，该怎么解决？ TaskAttempt killed because it ran on unusable nodecomput12:60528 Container released on a *lost* node ...

https://www.pcworld.com/tags/Greenplum+Inc..html and Aster Data Systems, two startups involved in large-scale data analysis, announced this week that their products ...