We just tested with one instance of reduce.py, but you could imagine many instances of reduce.py handling many lines of output from map.py. Note that this works only if lines with the same hostname ...

Everyone knows that if MapReduce and Hadoop require elite programmers to write programs to analyze data, then the size of the market will be small. A burning question for all Hadoop vendors is ...

The MapReduce design pattern to distribute data processing was introduced by Google in 2004, and came first with a C++ implementation. A new Ruby implementation is now available under the name of ...

Ideally, the MapReduce implementation should help organizations run complex data simulations with sub-millisecond latency, high data throughput, and thousands of map/reduce tasks completed per second ...

Google's patent on MapReduce could potentially pose a problem for those using third-party open source implementations. Patent #7,650,331, which was granted to Google on Tuesday, defines a system ...

Facebook handles a lot of data and Apache Hadoop's MapReduce system wasn't enough so it built a new system called Corona to handle the scale and data.

Ideally, the MapReduce implementation should help organizations run complex data simulations with sub-millisecond latency, high data throughput, and thousands of map/reduce tasks completed per second ...