Newsletter sign-up
View all newsletters

Enterprise Java Newsletter
Stay up to date on the latest tutorials and Java community news posted on JavaWorld

Sponsored Links

Optimize with a SATA RAID Storage Solution
Range of capacities as low as $1250 per TB. Ideal if you currently rely on servers/disks/JBODs

How big data platforms should work

Tips for optimizing public cloud infrastructures

  • Print
  • Feedback

Page 3 of 3

Common, familiar tools
What really evokes ecstatic comments from Manta customers is its use of standard, familiar tools. It's big data without the steep learning curve. Developers familiar with a machine vision library like OpenCV or text-processing languages like Perl are free to use them at the parallel compute nodes in Manta without modification. This reduces training and retooling time, and it taps a relatively large pool of developers in addition to self-styled data scientists.

With the launch of Manta, it's only becoming clearer that object storage is eating the world of storage. There's no doubt that computation on big data is driving new business models. Our view is that simplified, high-performance compute on stored objects will unleash another wave of innovation and business advantage. Object storage that can also provide analytic insights -- what a concept. Now it's our new reality.

New Tech Forum provides a means to explore and discuss emerging enterprise technology in unprecedented depth and breadth. The selection is subjective, based on our pick of the technologies we believe to be important and of greatest interest to InfoWorld readers. InfoWorld does not accept marketing collateral for publication and reserves the right to edit all contributed content. Send all enquiries to newtechforum@infoworld.com.

This article, "Joyent CTO: How big data platforms should work," was originally published at InfoWorld.com. For the latest business technology news, follow InfoWorld.com on Twitter.


  • Print
  • Feedback