Sanjay Mehta, VP of Product Marketing for Splunk joins John Furrier and Dave Vellante in theCUBE’s ongoing coverage of Hadoop Summit. The three discuss the recently announced HUNK, a beta product that combine Splunk and Hadoop.

Mehta explains that HUNK allows users to explore and visualize data that resides in Hadoop natively. This product allows users to analyze undetermined data and aims “to deliver better analytics and better insights.” Mehta says that HUNK “collects massive streams of data and turns that into charts and dashboards that can be shared across the organization.” The company addresses a recurring question among users who have often asked, “What can we do when our data is in Hadoop?” So, Splunk set out to take ease of use and capabilities, providing them on top of data that resides in Hadoop.

Vellante asks Mehta, “What gives you confidence that you all can maintain your lead in the marketplace?” Mehta responds, “Our focus is on promoting a high level of activity with these different kinds of uses.” He suggests Splunk is providing important value to users and bringing that experience into this new product.

Mehta notes that Splunk has been employed in big data use-cases. He cites examples with healthcare device manufacturers like Bosch that have a healthcare device that you carry on your person. He says its ideal for such data, which gets generated from those kind of devices as well as manufacturing and industrial censors that measures power consumption from rooms, to floors to entire buildings.

Mehta re-iterates that the role of hunk is to help organizations deploying hadoop to get more out of it. As he puts it, “People are being successful putting data in, so the challenge becomes how do you get data out?” The company aims to turn analytics into visualizations, packaging them in ways that are accessible to many groups across an organization.

At their upcoming conference, Mehta says Splunk will cite customer examples and not just discuss technology. The aim is to help organizations optimize technology to answer new questions in the business. The company saying is pretty simple and straightforward: “Your data, no limits.”

Mehta also notes that machine data is one of the fastest growing segments of big data with a lot of business critical data is in machine data. He adds, “This operational data can be valuable to multiple groups within the organization. All the technology we focus on is really about shifting the focus from storage and giving people the ability to really understand and look at that data.”