Hadoop Framework

Hadoop is framework written in Java.

1.  Scalable fault tolerant distributed system for large data storage & processing.

2.  Designed to solve problems that involve storing, processing & analyzing large data (Terabytes, petabytes, etc.)

3.  Programming Model is based on Google’s Map Reduce.

4.  Infrastructure based on Google’s Big Data & distributed file system.

5.  Key Value

     ~  Highly Flexible         -   Store data without schema & add later as needed

     ~  Very Economical -   Use Commodity Hardware’s for data storage

     ~  Broadly adopted       -   A large & active Ecosystem

     ~  Proven at scale         -   Many Petabytes storage & implementations in production today

Origin of Hadoop:

Doug Cutting  is a founder of the Apache Hadoop project and an architect at Hadoop provider Cloudera. The name "Hadoop" was given by Doug Cutting's, he named it after his son's toy elephant. Doug used the name for his open source project because it was easy to pronounce and to Google.

Hadoop is a project with aims of developing open-source software for use in analysis, processing and distribution for BIG data. It was originally developed to support distribution for the Nutch search engine project.

For better or worse, Hadoop has become synonymous with big data. In just a few years it has gone from a fringe technology to the de facto standard.