Sunday, February 27, 2011
Big Data, Big Open Source Tools
Enterprises are grappling with the skyrocketing amount of data they have to handle as that data proliferates into the terabyte and petabyte stage. Datasets that large are known as "big data" to IT practitioners. Relational databases and desktop statistics or visualization packages can't handle big data; instead, massively parallel software running on up to thousands of servers is needed to do the job.
Subscribe to:
Post Comments (Atom)
No comments:
Post a Comment