Hadoop and MapReduce, the parallel programming paradigm and API originally behind Hadoop, used to be synonymous. Nowadays when we talk about Hadoop, we mostly talk about an ecosystem of tools ...

On MapReduce, Spark provides an API using implementation of map(), flatMap(), groupBy(), reduce() in classic functional programming language such as Scala.

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 ...

Hadoop’s MapReduce programming model facilitates parallel processing. Developers specify a map function to process input data and produce intermediate key-value pairs.

After Google published technical papers detailing its Google File System (GFS) and the MapReduce programming framework in 2003 and 2004, Cutting and Cafarella developed a Java-based MapReduce ...