The inspiration for Hadoop came from Google's work on MapReduce, a programming model for distributed computing—a way to allow big data to be stored and accessed on multiple server computers.

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 ...

Two Google Fellows just published a paper in the latest issue of Communications of the ACM about MapReduce, the parallel programming model used to process more than 20 petabytes of data every day ...

This is a comprehensive Apache Hadoop and Spark comparison, covering their differences, features, benefits, and use cases.