Hadoop: How Open Source can Whittle Big Data to Size
Mar 06, 2012, 23:00 (0 Talkback[s])
(Other stories by Rohan Pearce)
"The challenge essentially comes down to this: How do you store
the massive amounts of often-unstructured data generated by end
users and then transform it into meaningful, useful
information?
"One tool that enterprises have turned to to help with this is
Hadoop, an open source framework for the distributed processing of
large amounts of data.
"Hadoop lets organisations "analyse much greater amounts of
information than they could previously," says its creator, Doug
Cutting. 'Hadoop was developed out of the technologies that search
engines use to analyse the entire Web. Now it's being used in lots
of other places.'
"In January this year Hadoop finally hit version 1.0. The
software is now developed under the aegis of the Apache Software
Foundation."
Complete Story
Related Stories:
- Hortonworks University Launches, and Can Teach You Valuable Hadoop Skills(Feb 22, 2012)
- Oracle's Big Data Powered by Cloudera's Hadoop(Jan 11, 2012)
- Hadoop Secures 1.0 Release(Jan 04, 2012)
- Cloudera Expands Hadoop Management for the Enterprise(Dec 09, 2011)
- Big Data, MapReduce, Hadoop, NoSQL: The Relational Technology Behind the Curtain(Oct 20, 2011)
- Hadoop: A Linux even Microsoft likes(Oct 14, 2011)
- Twitter Storm: Open Source Real-time Hadoop(Sep 28, 2011)
- Oracle Set to Announce New Database Product - Is it Hadoop?(Sep 15, 2011)