Although not immediately obvious, C++ is used in Big Data along with Java, MapReduce, Python, and Scala. For example, if you’re using a Hadoop framework, it will be implemented in Java, but MapReduce ...

Researchers have developed big data processing frameworks such as MapReduce and Spark to tackle the ever larger datasets distributed on large-scale clusters.

In 10 short years, Spark has become the dominant data processing framework for parallel big data analytics. It started out as a replacement for MapReduce, but it’s still going strong even as ...

Google is the pioneer of big data. Technologies such as Google File System (GFS), BigTable and MapReduce formed the basis for open source Hadoop, which, more than any other technology, has brought big ...

“Python is a very easy language to learn for non-programmers,” said Peter Wang, president of Continuum Analytics. That’s important because most big-data analysts will probably not be ...

(PhysOrg.com) -- "Twister," a new software tool released by Indiana University, supports faster execution of many data mining applications implemented as MapReduce programs. Developed by ...