 Once Nedman's in here for Studio B, I'm at Nutanix and I'm going to find out a little information about Big Data and virtualization. Sir, could you introduce yourself? Sure. I'm Karthik Ranganathan and I'm a member of Technical Staff at Nutanix. Karthik, I've been excited about this conversation because there is a level of difficulty that a lot of people feel exists about Hadoop and Big Data, but you offer a solution that helps get rid of a lot of that. It's true, so the solution we offer is an appliance which is a distributed storage mechanism and oriented towards virtual machines. So let me tell the story this way. If you're an enterprise and you've got some data, you're trying to make some sense of it, you're trying to get some meaningful answers, what you're interested in is the answers, the questions you want to ask and the answers you want to get. You don't necessarily want to spend your time trying to keep up this Hadoop cluster, figure out how to maintain it, run it, upgrade it and figure out all of its failures and quirks. What we're offering is a way to run Hadoop in a virtual machine on top of a converged cluster. Usually virtual machines Hadoop, people are like, the performance doesn't do so well, that's the usual objection, but here we have a distributed file system where the data is local. So you will get your performance, it's pretty good performance and you'll get your manageability because if you're already dealing with virtual machines, it's pretty easy to manage this. I like that. It seems like a lot of individuals or organizations that aren't yet convinced of the benefits, when they look at it, they say, I don't know if it's going to be worth the hassle, but you have a solution that makes it so easy that they can go ahead and get involved and then they'll realize the benefits once they're there. Absolutely. So Nutanix is all about scale as you grow, even for just the virtualized workload and it's no different for Hadoop. So if you already have a virtualized install, you could run it on Nutanix, it's really, really efficient and you could put Hadoop into the mix and it could coexist with the rest of your workloads and you could start using Hadoop and as it pays dividends, grow into your Hadoop cluster. So that's the vision. What is the message you're getting from customers? What are their concerns that they're coming to you with? In big data, I mean I'll talk about concerns in general, so customers in general want, the converge story is really powerful because it makes the management easy and to understand why traditionally in a virtualized environment where you have virtual desktops or server virtualization, all of your storage is on a SAN or a NAS box which is remote and all of your compute is on a cluster that the user interface is with. So you would have to connect this and manage your data independent of your cluster, scale the two separately and so on and so forth. What Nutanix offers is both of these two get collapsed. The machine that does the serving is also the machine that has the data. It forms a virtual cluster of disks along with all the other disks in that cluster and it gives you a better performance and better storage characteristics, better failure characteristics. Would you say that a solution like yours enables your customers to focus on their business, what they really want to, you know, what they want in business to do rather than spending so much time and effort on their IT? That's absolutely right. So the Googles and the Facebooks of the world, right, like I was at Facebook just before Nutanix actually. That was like I joined Nutanix about three months ago, right, and there we have dedicated teams of engineers and product engineers and support engineers working to keep these clusters up and running. But the scale is so massive that that investment is totally worth it. But to the average enterprise company, that's probably not the focus, right? So it is the value, so that is really the focus. Because you offer such a simple solution, would you say that you're opening this option to a wide range of customers, not just large enterprise, but medium and even smaller companies would be able to experience and dig into some of the data that they've been collecting? That's exactly right. That's exactly right. And that's the part of the Nutanix vision that's personally for me the most appealing, which is to bring to the industry at large what the big guys, the Googles and the Facebooks of the world are able to do at scale, to bring that to the masses at a larger scale, but not individually large, but on aggregate very large. This is the man that's leveling the playing field. The David and Goliath, you're helping David kind of bulk up. Well, that's true, but David and the Goliath are not fighting, though, but yes, definitely. I like that. Now, for folks that are curious and they want to learn more, what's the best way to get in touch with you? I would say Nutanix.com, the website, has a lot of good information. Stop by our booth at Hadoop Summit here. Or you can connect with me on Twitter, Karthik, yeah. What is your Twitter name? Karthik R. Winston Edmondson Studio B, signing out.