BIG DATA
BIG DATA
BIG DATA
Millions of data points from smartwatches and fitness trackers generate tremendous amounts of digital records every second, and most of this information goes right into object storage servers, where it’s organized more flexibly than traditional hierarchal methods. Bundled along with metadata and a unique identifier, this fitness data has the potential to alert users of health risks, if only it could be analyzed right at the storage layer.
That’s one use case among many that has led Veritas Technologies LLC to release new software-defined storage solutions this week with an eye toward enabling analytics and machine learning to transform the customer experience.
“If you embed intelligence next to the metadata, storage is not dumb anymore. That’s predictive; it can happen at the storage layer. It doesn’t have to be this other superficial intelligence layer that you paid millions of dollars for,” said Jyothi Swaroop (pictured), vice president of product and solutions marketing at Veritas.
Swaroop stopped by theCUBE, SiliconANGLE’s mobile livestreaming studio, and spoke with co-hosts Dave Vellante (@dvellante) and Stu Miniman (@stu) during the Veritas Vision conference in Las Vegas, Nevada. They discussed new storage solutions, data portability and visibility inside enterprise platforms. (* Disclosure below.)
The company’s new software-defined solution, Veritas Cloud Storage, offers analytics, machine learning and classification technologies for large amounts of unstructured stored data. The new release is in keeping with the company’s goal to provide software that can be effectively used in any hardware situation.
“We go from the Box and Dropboxes of the world all the way to Dell EMC,” Swaroop said. “We’ll cover the end-to-end spectrum, because we don’t have a dollar per petabyte agenda to store data within our own cloud situation.”
In addition to storage analytics, Veritas is positioning itself as a key player in moving data between enterprise environments. This is becoming more significant as companies seek to move from on-premises to the cloud, and then to another cloud after that.
“We’re seeing more cloud lock-in start to happen,” said Swaroop, citing the cost and difficulty involved in moving between clouds. The Veritas Resiliency Platform was built to help the data transfer problem with, as Swaroop described it, “literally just a few mouse clicks.”
That kind of portability requires visibility as well. Veritas Information Map is designed to provide real-time visibility of unstructured data stored on Microsoft Azure or Amazon Web Services.
“If we’re not making it easy for customers to identify what is the right data to move to the cloud, then they’ve lost half the battle even before they move,” Swaroop said.
Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s coverage of Veritas Vision 2017. (* Disclosure: TheCUBE is a paid media partner for Veritas Vision 2017. Neither Veritas Technologies LLC nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
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