 Back live in New York City, Hadoopworld2011siliconangle.com's continuous deep, in-depth coverage of Hadoopworld2011, put on by Cloudera, sponsored by Cloudera. We're here because of Cloudera, and I'm joined by, of course, my favorite guests of the day, the SiliconANGLE editorial team, Alex Williams and Clint Finley guys. We're in New York together as a team. The Cube, the bloggers, Christen's here. What are you guys seeing out there? You've been roaming the hallways. You've got the guys back at the ranch, bugging out posts, curating video. I see SiliconANGLE has been excited to have you guys join the team. It's been great. Alex and Clint, the coverage has been fantastic. The quality of the in-depth conversations and stories around enterprise, around services angle has been fantastic. We're just getting started. It's exciting. It is. But here at Hadoopworld, what are you seeing? Let's see a few themes emerge. I mean, I talked to a woman over lunch today who's still trying to figure things out, like understand what are the critical components that she really needs when they develop, for instance, a Hadoop connector. What do they really need to do? And the other conversation I'm hearing too is the continued quest for simplicity and the ability to make this technology that really is something that people can use outside of data scientists, not just the data scientists, but everyone really inside the organization who can use it. So starting to try to find ways to adapt to Hadoop and to, for instance, particular industry market sectors in the way that they do analytics so everyone can use it. Yeah, I've been seeing a lot of that too. One thing I noticed was that Astrodata has been getting a ton of traffic to their booth. And I think that speaks to two things, both the seeking simplicity because their solution is a SQL to MapReduce product that can connect to Hadoop. So it can simplify Hadoop by giving people access to the traditional SQL interface that they're used to. But it could also act as an alternative to Hadoop. And we're not seeing a whole lot of people talking about alternatives to Hadoop here because it is a Hadoop conference and a lot of people are already using Hadoop. But the Barbarians are at the gates here with HPCC and Microsoft has some alternatives and there's something that came out of University of Berkeley called Spark. So there's a bunch of alternatives to Hadoop cropping up now as well as the Astrodata product. So a lot of people have been going there so I don't know if it's because they're looking for the simplicity or if it's because they're actually thinking, well maybe we can just replace Hadoop with this. And it won't work as a straight up Hadoop replacement in all circumstances, but it's definitely a possibility for some workloads. So we've been on theCUBE doing the interviews. One of the things that's great about theCUBE is we get to do the interviews and meet all the great smart people, but we missed the session. So question for both of you guys is, what's the vibe of the show and two, what's on the ground news and rumors you're hearing? Lots of talk in the hallways, a lot of people very, I'm hearing a lot of conversations about the real time requirements that they're seeing are going to be increasingly needed and how they don't really see it quite yet in Hadoop. And that speaks again to the type of efforts like that Twitter's using with Spark. And how that can provide that kind of real time capabilities. The real time, one of the real time sessions was overflowing. I think Jeff was saying that. Is that Jonathan Gray's session? Yeah, I believe it was. Facebook is just on theCUBE. Yep, and so there's a real need for that real time information. Clint, what are you seeing for the vibe of the show, news on the ground, rumors, come on, anything? I think one of the big things I've been seeing on the ground is just people really want to know what to do and how to do it. So I went to a session on Hadoop operations and they had people from ALL advertising, AT&T interactive and Facebook who have these really large deployments of Hadoop and HBase. And they were there talking about some of the common problems, how to do capacity planning for Hadoop and stuff like that and that was a big deal for participants. I think really the story that we're hearing is also about the tension out there. I mean, we do hear talk about Cloudera, we hear talk about Hortonworks. People aren't really sure at times what the direction is, where Hadoop is actually going. And I think those kind of issues that we're seeing kind of in the general press are showing up in the crowd who are here. Which panels do you guys attend? Did you attend many panels? Just the operations one that I was just talking about. Yeah, I've been mostly spending my time out in the lobby talking to folks. Okay, what'd you put up for posts? Any good posts? I didn't have a check that site yet. What'd you guys post today? Well, I thought the funding story is interesting. And so I wrote about that today, about five reasons why this fund is going into effect right now. And essentially it's because, you know, what Mike Olson was saying in his session with you, is that you need these apps, you need these apps, these big data apps that kind of like build up the ecosystem. Because there's so many needs, you know, for this new generation of apps, and either in mobile, security, CRM, you name the market. I actually didn't post much about Hadoop today that we haven't already seen on theCUBE so far today. But last week I posted, I post about alternatives to Hadoop, which again, ties into that, that people seeking other possibilities such as Storm and Spark. One other thing I like that is like, I think one of the exciting stories too, is Dell, Dell seems like they're really on, you know, at this event. They open source some Crowbar, and with that they have also open source there, what they call is these bar clamps, which allows you to really kind of like. We had Barton on theCUBE, Barton and George, you talked about how he's got chef kind of tucked in the middle. And that's the DevOps, and that's the DevOps story right there. You know, I think that's going to be an increasing story that we hear about. And you see it in like what people are talking about, and the need for skill, need for people with really good skills. The DevOps issue is going to be a big one. Well, why don't we take this time to opportunity to announce that SiliconANGLE is going to be launching a DevOps angle dedicated section around DevOps, because we're going to do that. We're looking for some sponsors. So, you know, if you're interested in supporting DevOps, we'd love to get some sponsorship and expand the coverage, but Clint and Alex and myself, and with the Wikibon team, we'll start to see much more focused content around the DevOps trend, which we've been following for a couple of years, but Clint, you and I were talking last night about how this is going mainstream, Alex, and you pointed out that this developer angle is really in when you just heard Facebook just say it. The enterprises who have operations and engineering separate are not in a good position, and that at Facebook, DevOps and operations are integrated. And so this is clearly the trend. It has to be integrated if you're dealing with Hadoop. DevOps is, Hadoop is going to be a big thing for DevOps, because you've got clusters, say, of 600 servers. You're going to have to have automation. You're going to have to have automated configuration tools to manage that many servers. And because Hadoop is so focused on what developers are doing with it, developers and operations have to work closely together to keep Hadoop clusters running top-right. It ties into our Hadoop coverage. It ties into our cloud coverage. So DevOps is hot for us. If you have DevOps content, you want to come and talk to us. We want to brief briefing with you. If you're launching DevOps products, email us at SiliconANGLE. Reach out to us. We're interested in hearing your story. Sponsorships aside, all cheekiness there. I mean, we're interested in sponsorships, but really we're more interested in high-quality content. And I'll see any CUBE opportunities we can have with DevOps, we're highly interested. And so, you know, reach out to us. Alex, what's your view about how this relates to the enterprise? We've heard different kind of CUBE stories today around the enterprise. We heard Cloudera saying, big data is about where the data originates. We've heard Informatica saying, well, it's not that simple. This transaction system is the nanosecond layer of Wall Street. So, you know, structured data is not a big part. We've heard Ativio talking about how they have this really cool graph, algorithms with their index. So, a lot of kind of cool different perspectives on how you look at the problem. What are you seeing and what's your take on that and how are you chasing those stories now? Yeah, actually, I think what we're seeing here is that Hadoop is still quite immature. It has a long way to go. The development around it is still kind of in its infancy and we see that in a number of ways. I mean, what releases Hadoop on now, 0.2, right? I believe so, yeah. Yeah, I mean, and so that's really, I mean, it's not even at 1.0, right? And so, we're seeing something that's still very, very young and people just are trying to understand, well, what do you layer on top of Hadoop? How do you use H-Base? How do you use all these different layers that are coming out of the open source community? And plus, then you have the open source community and some people think it's a bit of a mess. The Apache community around Hadoop. And in addition to that, you know, you have the vendors and so how are the vendors and the open source community going to start working together more? And Todd Peppa-P at Reventure, he's actually Yahoo, can't even say his name. I was written down by the notebooks gone. He's really, I liked his conversation. He was really talking about the application market really being a driver and the appization of it. And I think that's an area that's untouched right now. It's totally fertile. There's some apps on top of it. He used the example of Oracle when they came out as a startup, there was some instant database apps and he said, quote, it wasn't easy to use. But they still built apps. So he believes that we're going to have this long three to five year cycle of major application development with ease of use getting better, more on the back end of that timeframe. And I think you're going to see some really powerful web apps come out of this that won't come out of the enterprise. They'll be continued to be these very awesomely powerful startups that will do incredible things we couldn't even imagine with music, for instance, right? And or for optimizing the battery on your Android device. Just all these little, little things that can make a big difference in your life. The enterprise, you know, you have to be really an engineering focus organization to really take advantage of Purdue. And Fortune 500 companies, they don't want a bunch of keeks running around, you know. So I got to ask you guys, and I kind of already know the answer to what I know you guys, but I wanted to kind of get a conversation going on it is that Dave and I were talking about cloud washing and how that term has become synonymous with people just slapping the word cloud on their solutions. And it's a negative term. It means it just, you know, taking something old and saying it's cloud and hope that they get traction. So I introduced the concept of hadoop washing. And then Dave said it should be big data washing. We haven't even, no one's said that yet about this market, but you know, eventually when it hits a hype cycle like this, you're going to start to see some of the bigger players come in that are more of the entrenched vendors. We're seeing some of that here. We're Oracle's here. We mentioned Astor Dave, which is a lot of traffic to their booth. I'm not saying that they're hadoop washing, but you know, as journalists, right? And sourcing data from the web, which we always do and talking to PR firms. What's your radar for hadoop washing? How do you guys, you know, how are you thinking about figuring out hadoop washing versus the real deal? I mean, how are you guys vetting that? Just, I mean, not that there is an answer. It's just, you know, because of seasoned journalists who are out there, I mean, when do you hear something that's like, I can't bullshit. Well, in terms of hadoop washing, it's not really, I haven't seen it happening much yet, but there are definitely things that I need to look into more because every BI or data warehousing company now either has a hadoop connector or they're going to have a hadoop connector. And, you know, there's gonna be a lot of questions about why do you need a hadoop connector on this? So far, it's mostly making sense. I haven't seen anything yet that I've seen and been like, why do you need a hadoop connector? It's all been legitimate for now on the surface. Right, because so far, not enough people know what hadoop is for anyone to make it worth hadoop washing, but I agree with you. I think it's gonna happen. And really, the first step is just gonna be, and I think the CEO of Cloudera this morning said this as well, is that you just have to look at the applications and see, does it make any sense to have this connected to hadoop or have hadoop be a part of this? Yeah, I think that's exactly right, but I think the difference between when you look at hadoop and the term hadoop, when you look at the term big data, I think there's a real difference. There's some fundum, there's some underpinnings underneath hadoop, right? But what is big data? You know, it's about as ephemeral phrase as the cloud. Certainly sounds good. If you're gonna want to sell to the enterprise, they all want big data, too many times. And that absolutely is happening where you're seeing any product that deals with data in any way now is being marketed as big data. And it's interesting, maybe a year ago, at any time I got a pitch for something that said big data in it, I paid attention because it wasn't incredibly frequent. It was usually relevant. Now, if somebody says big data just in a message header, I almost want to block it out because it just comes in so often. I think you need to be very careful when you're watching the legacy vendors out there, the big technology giants who have had their, who've built their power basically on the backs of these enterprise apps that are basically solutions oriented that really don't embrace no SQL at all or don't embrace kind of that whole big data philosophy that you see from companies like Twitter and Facebook and Google and Amazon Web Services who are very innovative, very fast, and very, very popular, you know? And that's, you always think you need to think about the new players and the old players and how they're trying to get to the middle to really kind of reach that larger market. Okay, we're here at Silicon Angles, Alex Williams and Clint Finley inside the Cube live in New York City at Duke World 2011 where we are tracking and covering like a blanket of big data market. Hadoop is obviously the big enabler on this platform, new applications, things we're going to stand on top of it. We're going to be tracking it every day. Parting thought and question for you guys and then we'll call it a wrap and we'll go for you guys is what are you guys tracking right now for stories? Share with the audience what's on your hot list. What are you into? We just talked about DevOps, but what else is on your list for tonight, tomorrow, this week, just in general, the coverage areas that you're looking at? Sure, like we already mentioned, tools that are trying to help people make Hadoop more accessible. KarmaSphere is big on our radar right now. Alex? Definitely is Hadoop ready for the Fortune 1000, actually the story that I'm working on. How about Oracle? They're here. That's a big story, right? I would really like to hear more about Oracle from here at this event. I think they're definitely worth looking at it. Trying to get some more information on them and it hasn't been hard to find. I've actually been, I was worried Oracle was gonna kind of come in here and do a lot of chest bumping and try to drown everybody out and hijack the conversation, but they haven't really done that, so good on them for that. They have the sponsored tweet though for the Hadoop world. Very clever of them. Clever of them. Okay guys, thanks so much.