 And welcome back everybody to theCUBE, SiliconANGLE's premier TV production where we go out to the top tech events to separate the signal from the noise, bring you the information on the technologies and trends and enterprise IT that you're looking for. We're here of course at .conf, the Splunk User Conference in Las Vegas with the Cosmopolitan Hotel. We are wrapping up the show. Jeff Frick is here with my co-host from SiliconANGLE and I'm Jeff Kelly from wikibon.org and Jeff we've had quite a long two days but a lot of great content, a lot of great conversations. What stood out for you? What were some of the key takeaways you got from the last couple of days? I think it's been a great show and today we had kind of a different perspective because we had a couple outside analysts and we had some press guys and some of the things that stood out for me is one we just got continual validation of kind of the land and expand the strategy that Splunk has done and you see it with other technologies as well as Lassie and Jira comes to mind where you make it really easy for people to try a product and engage value and then expand the use of that, I think that's pretty interesting. The other thing that's kind of an extension of that is where you start with a very specific application and then it grows and literally grows as the guy said people look it over their shoulder. Well yeah, I mean it's certainly, what makes a technology really powerful is of course what it's built to do but the fact that you can extend that technology to do other things just increases the amount of value you can get out of that investment and we're seeing that that's core to big data. We've heard it all day today and yesterday with Splunk users, you know, downloading the product for free, starting in the data center, monitoring, analyzing what's going on in infrastructure and then starting to extend that out to connect all that data to business problems, whether it be, you know, marketing problems or sales issues. So, you know, the more that you can do that, the more valuable your investment becomes and you were definitely seeing that when we also saw that in the Hadoop world with our conversation with Rune from Hortonworks, same strategy and same idea. So I think that's one of the common themes throughout the big data kind of portfolio we're seeing with Hadoop and Splunk and some other approaches. So that's key. I think another thing that struck me was the iterative approach that everyone seems to be taking here at the conference in terms of their use of Splunk. It's not just ask a question and then sit back and wait for an answer. It's ask a question, get an answer, ask another question, go down this road, go down that road, and it's very much a process. And you need tools that are agile and that allow you to do that. You know, the old method of a very structured, very locked down data warehouse really isn't, doesn't work anymore for a lot of problems. There are some problems where that is, you know, the data warehouse is the answer, but when you're trying to iterate and trying to do these ad hoc queries and find answers to questions you just thought of, kind of out of the blue, you need these more agile types of technologies. So that really struck me as being one of the important developments we're seeing in the big data landscape. Right, where this opens up the opportunity to find out, you know, as I think John said, you don't know what you don't know, but the way that you find out that you don't know, what you don't know is you start exploring and you go down a path and you, you know, you ask a question, you get an answer that gets another question, another question, another question, which is, which is very interesting, because it's kind of analogous to how a lot of us surf the web, right? How you get information just in your, in your everyday life, you know, you may go to the local newspaper, you read up on some story, which then links to something else, which links to something else. And six clicks from now you don't know, you know, where you are, maybe has nothing to do with where you started in. And I think our last guest Jason said, you know, if you do not have the ability to follow that train of thought and to follow that, that query, if you've got to parse that query out to somebody to run an analysis, by the time it comes back, you know, you're going to lose that train of thought. You know, you're never going to have an opportunity to actually start that train of thought. So I thought that was pretty, was pretty insightful. I'm just looking here at some of our, our other guests that we had. Again, just the fact that there's so much value in this data that here before had just been thrown away, based on the fact that you couldn't store it, it was too expensive, you couldn't do anything with it. And, and really it's, it's, it's interesting to me this kind of constant evolution of a number of technologies between CPU processing, horsepower, and big fat pipes, and inexpensive storage, and now really fast storage that's allowing you to do things at scale, which, which before were just not even in the realm of possibility. Yeah, absolutely. I think taking, you know, all that data was often seen as a liability because it was either costing you money to store it, you had to, you know, you had to pay to make sure you were storing it in ways that were compliant with regulations, or you were just getting rid of it and not doing anything with it at all. And then, you know, who knows, we sponsor later, you'd be like, wow, I wish we had that data and we could do something with it now. Whereas now, from a liability, big data makes data really a strategic asset, which is really a change in thought process as much as technology. So, you know, I think we talked a little bit over the course of the two days of the new way of thinking that big data requires. Right. You know, data is not something that's just a, you know, necessary evil that's costing your company money. It's a gold mine sitting there. Right. You know, but you really need to know how to tap into it and take advantage of these new tools, techniques and ways of thinking to do that. So, yeah, absolutely some really good stuff here today and yesterday at the show. What struck me also, of course, was the community that's going around Splunk. You know, in big data, generally, but specifically around Splunk, we're seeing some really excited people. I mean, the mood here is just really excited. Yeah. Really happy customers and that's, you know, that's certainly how you grow and be successful in business is to make your customers happy and that's definitely what Splunk's doing based on the feedback we're getting from the show. Yeah, very active and again, extending functionality, extending capability via apps developed by third parties for special purposes and apps developed by third parties just because of stuff that Splunk isn't doing and it'll be interesting to watch them as they move forward, but I think they've pretty well executed to have a solution focus for their go-to-market and for that initial installation but really from a product management process really building out the platform capabilities that will enable this expansion along a number of fronts. I guess my final thought is while it's fun and cool and sexy to talk about the elevator story and I think that's kind of neat and there's a whole bunch of interesting applications that nobody's thought of yet for big data, we heard time and time again that the entry point, the kind of the initial problem that people are trying to solve is really around security, compliance, it's still kind of still in the data center, there's still some big problems there that Splunk is bringing orders of magnitude of improvement and capabilities to solve that just simply weren't there before. Absolutely, they're doing some really interesting things. The challenge down for Splunk is to continue on that momentum. I mean, they've had a great years, we've talked about over the course of the two days, but they're gonna continue to scale, I know they're adding headcount, they're adding customers and as you do that, obviously new challenges arise as you grow your company. So they certainly have their work cut out for them but they are in a great position right now, definitely really making a difference in their customer's business. I mean, if you think about, people sometimes talk about big data's a lot of hype and who's really doing it? Who's really finding value? And it's clear, there's a thousand plus customers here who are finding value in big data every day thanks to Splunk and the technology and approaches that they've adopted in this kind of new era. So it's real, there's a lot more work to be done and Splunk's got a very interesting culture, some really interesting titles among some of the execs. We found the beef, that's for sure. I think we definitely found the beef. Yeah, so interesting, very interesting group, really passionate, definitely dedicated and really smart. So I think the future's looking very bright for Splunk, challenges ahead, but they're in a really great position. So thanks everybody for watching, we wanna thank a few people, we couldn't do this certainly without the help of, among others, Levy Production Systems who helped us with our equipment and of course, Tom Stillwell over at Splunk who helped pull this together with us in pretty short order. He's been a man on a mission the last couple of days so we appreciate all his hard work. The rest of the Splunk staff, Tim from the Cosmopolitan Hotel has really helped us out here in terms of getting situated. And yeah, just Splunk, we wanna thank Splunk for sponsoring us, The Cube, getting us here to this great event, letting us really uncover all these great stories around big data, what customers are doing. Coming up we're gonna be taking The Cube to some more events as you can imagine, we're going to be in the big data world, we'll be at the Stratoconference slash Duke World, they've merged the two conferences this year so we'll be at that in October, but definitely keep an eye out for that and we're also, actually right now we're at a rotate event, you can catch on siliconangle.tv right now. So we're gonna be very busy, so keep in touch, tune in to SiliconANGLE TV often, we've got great content pretty much every day now so keep coming back and checking out wikibon.org as well, we've got some good research there around big data. So we look forward to meeting with you again at the next event, any final thoughts? Final thoughts, just a big shout out to my co-host Jeff here, it's been a real pleasure working with you and I think we've had a lot of interviews, we'll have to go back as the football coach and me likes to say and check the tape, I think there's a lot of good nuggets in our own data journey to find a lot of good stuff that we've captured over the last couple of days. So we want to again, thank you for coming, again thanks to our host Tom who's over there busily texting away, keeping things in control and we look forward to seeing you next time on theCUBE.