>>mhm mhm >>Hey guys, welcome back to Los Angeles lisa martin. Coming to you live from cuba con and cloud native Con north America 2021. Very excited to be here. This is our third day of back to back coverage on the cube and we've got a couple of guests cube alumni joining me remotely. Please welcome parse our karate senior consultant, product marketing, Dell Technologies and David Noi VP product management at Dell Technologies. Gentlemen welcome back to the program. >>Thanks johnny >>so far so let's go ahead and start with you. Let's talk about what Dell EMC is offering to developers today in terms of unstructured data. >>Absolutely, it's great to be here. So let me start with the container storage interface. This is Q khan and a couple of years ago the container storage interface was still in beta and the storage vendors, we're very enthusiastically kind of building the plug in city of the different storage portfolio to offer enterprise grade features to developers are building applications of the Cuban this platform. And today if you look at the deli in storage portfolio, big block volumes. Nash shares s three object A P I S beyond their virtual volumes. However you're consuming storage, you have the plug ins that are required to run your applications with these enterprise Great feature speech right about snap sharks data replication, all available in the Cuban this layer and just this week at coupon we announced the container storage modules which is kind of the next step of productivity for developers beat you know uh in terms of observe ability of the storage metrics using tools like Prometheus visualizing it ravana authorization capabilities so that you know too bad moments can have better resource management of the storage that is being consumed um that so there are these multiple models were released. And if you look at unstructured data, this term may be a bit new for our kind of not very family for developers but basically the storage. Well there is a distinction that is being made you know, between primary storage and unstructured storage or unstructured data solutions And by unstructured we mean file and object storage. If you look at the cube contact nickel sessions, I was very glad to see that there is an entire stream for um machine learning and data so that speaks to how popular communities deployment models are getting when it comes to machine learning and artificial intelligence. Um even applications like genomics and media and entertainment and with the container storage interface uh and the container storage modules with the object storage portfolio that bill has, we offer the comprehensive unstructured data solutions for developers beat object or file. And the advantage the developers are getting is these you know, if you look at platforms like power scale and these areas, these are like the industry workhorses with the highest performance. And if you think of scale, you know, think of 250 nasnotes, you know with a single name space with NVIDIA gpu direct capabilities. All these capabilities developers can use um for you know, applications like machine learning or any competition intensive for data intensive applications that requires these nass uh scale of mass platforms. So so um that's that's what is new in terms of uh what we are offering, you have the storage heaters >>got a parcel. Thank you. David, let's bring you into the conversation now you've launched objects scale at VM World. Talk to us about that, what some of the key features and capabilities are and some of those big business benefits that customers are going to be able to achieve. >>Sure thing. So I really want to focus on three of the biggest benefits. This would be the fact that the product is actually based on kubernetes country, the scale of the product and then its ability to do global replication. So let me just touch on those in order. Mhm You said that the product is based on kubernetes and here we are cube concept. The perfect time to be talking about that. This product really caters to those who are looking for a flexible way to deploy object storage in containerized fashion, appeals to the devops folks and folks who like to automate things and call the communities a P I. S to make uh the actual deployment of the product. Very simple in turnkey and that's really what people turn to kubernetes for is the ability to spin things up when they need them and spend them down as they don't and make that all on commodity hardware and commodity, you know, the quantity pricing and the idea there is that I'm making it as simple and easy as possible. You're not going to get as much shadow I. T. You won't have people going off and putting things off into a public cloud. And so where security of an organization or control of the data that flows with an organization is important. Having something that's easy for developers to use in the same paradigm that they're used to is critical. Now I talked about scale and you know, if you have come to me two years ago I would have told you, you know, kubernetes, yeah, containers people are kicking it around and they're doing some interesting science experiments, I would say in the last year I started to see a lot of requests from customers um in the dozens, even 200 petabyte range as it relates to capacity for committees and specifically looking for C. S. I and cozy with this. This this is the the object storage implementation of the container storage interfaces. Uh So skin was definitely there and the idea of this product is to provide easy scalability from the terabytes range into the multi petabyte range and again it's that ease of use, ease of deployment because it is kubernetes basically because it's a KPI driven that makes that possible. So we're talking about going from a three night minimum to thousands of nodes. and this allows people to deploy the product either at the edge or in the data center um in the edge because you can get very small deployments in the data center to massive scale. So we want to provide something that covers the gamut. The last thing I talked about was replication. So let me just touch upon what I mean by that uh when people go and build these deployments, if you're building a deployment at the edge of an object scale product, you're probably taking in sensor data or some kind of information that you want to then send back to a data center for processing. So you make it simple to do bucket based replication. An object, sorry object storage based replication to move things to another location. And uh that can be used either for bringing data back for analytics from the edge, it can be used for availability. So making sure that you have data available across multiple data centers in the case that you have an outage. It could be even used for sharing data between developers in one site and another site. So we provide that level of flexibility overall. Um this is the next generation object store leveraging. Dell technologies number one position in object storage. So I'm pretty excited about >>and how David is object scale integrated with VM ware software. Stop give us that slice and dice. >>Yeah, and that's a good question. And so, you know, we're talking about this being a Kubernetes based product, you can deploy it on open shift or we integrate directly with VM ware cloud foundation and with Tansy, which is VM ware's container orchestration and management platform. I've seen the demo of the product myself from my team and they've showed it to be did all of the management of the product was actually done within the V sphere Ui, which is great. So easy to go and just enter the V sphere. You I installed the product very simply have it up and running and then go and do all of your management through that user interface or to automate it using the same api is that you used to through VM ware and the 10 Zoo uh platform. >>Thank you, paris are back to you. Security is a big theme here in kubernetes. It's also been a big theme here. We've been talking about it the last three days here at cop con. How does Dell EMC's unstructured portfolio offer that necessary cyber protection that developers need to have and bake that into what they're doing. So >>surely, you know, they talk about cybersecurity, you know, there are different layers of security right from, you know, smarter firewalls to you know how to manage privileged account access and so on. And what we are trying to do is to provide a layer of cyber defense, right at the asset that you're trying to protect, which is the data and this is where the ransom their defender solution is basically detecting any patterns of the compromise that might have happened and alerting the I. T. Um administration about this um possible um intrusions into their into the data by looking at the data access parents in real time. So that's a pretty big deal. Then we're actually putting all this, you know, observance on the primary data and that's what the power scale platform cybersecurity protection features offers. Now we've also extended this kind of detection mechanism for the object data framework on pcs platforms as well. So this is like an additional layer of security at the um layer of uh you know where the data is actually being read and written. Do that's the area, you know, in case of object here we're looking at the S. Three traffic and trying to find his parents in case of a file data atmosphere, looking at the file's access parents and so on. So and in relation to this we're also providing uh data isolation mechanism that is very critical in many cyber recovery processes with the smart absolution as well. So this is something that the developers are getting for like without having to worry about it because that is something implemented at the infrastructure layer itself. So they don't have to worry about you know trying to court it or develop their application to integrate these kinds of things because it's an it's embedded in the infrastructure at the one of the FBI level at the E C. S A P I level. So that's pretty um pretty differentiating in the industry in the country storage solutions. I'll get. >>Uh huh. Yeah. I mean look if you look at what a lot of the object storage players are doing as it relates to cyber security. They're they're playing off the fact that they've implemented object lock and basically using that to lockdown data. And that's that's good. I mean I'm glad that they're doing that and if the case that you were able to lock something down and someone wasn't able to bypass that in some way, that's fantastic. Or if they didn't already encrypted before I got locked down what parts are is referring to is a little bit more than that. It's actually the ability to look at user behavior and determined that something bad is happening. So this is about actually being able to do, you know, predictive analytics being able to go and figure out that you're under attack. There's anomalous behavior um and we're able to go and actually infer from that that something bad is happening and where we think it's happening and lock it down even even more securely than for example just saying hey we provide object like capabilities which is one of the responses that I've seen out there from object storage vendors >>can you share with us. Parts are a customer example like walk us through how this is actually being used and deployed and what some of those business outcomes are. >>Yes lisa. So in terms of container realization itself, they have a media and entertainment kind of customer story here. Um Swiss TXT um they have a platform as a service where they serve their customer base with a range of uh you know, media production and broadcasting solutions and they have containers this platform and part of this computerization is part of their services is they offer infrastructure as a service to you know, media producers who need a high performance storage, high performance computing and power skill And Iceland have been their local solutions to offer this And now that they have containerized their core platform. Well you see a sign interface for power skills, they are able to continue to deliver the infrastructure, high performance infrastructure and storage services to their customers through the A. P I. And it's great to see how fast they could, you know, re factor their application but yet continue to offer the high performance and degrees enterprise grade uh features of the power scale platform. So Swiss Txt and would love to share more. Keep it on the story. Yeah. Hyperlink. >>And where can folks go to learn more about objects scale and what you guys are announcing? Yes, particular. You are a website that you want to direct folks too. >>I would say that technologies dot com. And uh that's the best place to start. >>Yeah, I would go to the Delta product pages around objects should be publicly built. >>Excellent guys, thank you for joining me on the program today. Walking through what how Dell EMC is helping developers with respect to unstructured data, Talking to us about objects skill that you launched VM world, some of those big customer benefits and of course showing us the validation, the proof in the pudding with that customer story. We appreciate your insights. >>Thank you. Thank you lisa >>For my guests. I'm Lisa Martin. You're watching the Cube live from Los Angeles. We're coming to you from our coverage of coupon and cloud native on North America 21. Coming back. Stick around. Rather I should say we'll be back after a short break with our next guest.

>>Live from Las Vegas. It's the cube covering UI path forward Americas 2019. Brought to you by UI path. Hello everyone and welcome >>do the cubes live coverage of UI path forward. I'm your host, Rebecca Knight, co-hosting alongside of Dave Volante. We are joined by Layla Delage. She is the chief information and digital officer at Coca-Cola. ECEK thanks so much for coming on the show. Thank you. Great to be here. Very exciting. And also Christina Perala, she is the group RPA lead at Generali. Thank you so much for coming into, for inviting me. Thank you. So I want to hear from you both about what, what your industry is and what your role is. Level. Let's start with you. Okay, great. Um, so we are, um, one of the Rogers bottlers within the Coca-Cola system. Uh, we produce, distribute and sell Coca Cola company products. The operating around 10 countries are middle East and central Asia and parts of middle East, Pakistan, Syria and Turkey. They are actually born out of Turkey and that's where our central offices, um, we've operate with 26 plants, around 8,500 employees. >>Uh, we serve a consumer base of 400 million and we have around close to 1 billion, uh, customers. Uh, and we continue to invest in the countries where we operate. And my role is to film and my role is all things digital within this community. So leading technologists, leading technology, all things digital. Yes. So Christina, tell us about Generali. Generalia. Sikora Zuni is a leading insurance company as the presidency. Enough 50 countries worldwide and more than a 70,000 employees that were wider. So it's a bigger company, not only for insurance. And my role with the internet rally group is to leader the LPA program. So I'm inside of the group that I in digital. So am I inside this group, I'm very focused on smart process automation. So RPA plus AI, because a has a, we already know all I loudly, LPA without a AI is announcer nowadays. So we have to keep on talking about AI, machine learning algorithms to enrich, uh, uh, the capabilities of basic robotic sell, hand reach, also the Antwerp and automation of processes. You're the CIO and the CDO. Yes. Yes. That's unique. First of all, there's one that's unique too. It's even more unique than a woman has both roles. So what's the reason behind it? So, um, there's definitely a reason behind it. I joined the Coca Cola >>system about a year ago, so I'm just a over a year in the company. The reason actually I wanted to make sure that we highlight the CIO and CTO CDO role together is, um, I want to advocate for all the it organizations to transform and really get into the digital world and get into the world of advanced technologies, become strategic business partners. Get out of the kitchen, I call it kitchen kitchen, it, you know, get out of the managing of data centers or cloud and um, just the core foundational systems and applications. Get into the advanced technology, understand the business, gain business acumen and deliver solutions based on business needs. So to highlight that, I want to make sure that I hold the role of both and I'm able to be advocate of both worlds. Cause digital without it support is not able to accomplish what they need to accomplish and it needs to get into more of the digital space. And Christina, as the RPA, you write bots, you evangelize the organization. >>Um, mostly the second. So in generally we have a, a very, uh, so, uh, sort of ivory the organization. So for something we are very decentralized, for example, for the developing of robots or the deploying for the action, the operational stuff and so on. Uh, but uh, for some stuff like a guidelines, uh, uh, risk framework to ensure that robots can do their work in the right way with notice to all for the business processes, uh, for this stuff before guidelines, framework, best practice sharing. We are a central centralized, we, we try to be centralized. So, uh, my role is to try to collect is to collect and not try and super lat, uh, best practices and share with you in the companies chair, uh, um, the best use cases. And, uh, also tried to gather what are the main concerns, what are the difficulties in order to a facilitator and to boost smarter process automation of the option. So >>Laila, you are up on the main stage this morning. You, I Pat highlighted Coca Cola itchy as a, as a customer that is embraced automation, embrace the UI pass solution. So tell us a little bit about the challenges you are facing and then why you chose I a UI path. So as I joined the company, uh, I introduced a very strong digital strategy that required a lot of change and it's within a company that has been very successfully operating all these years and doing pretty much know what to do very well. And all of a sudden with digital we are starting to disrupt the, are trying to say, Hey, we've got to change the way, do some of the things. Um, so belief in digital and belief that it can really bring efficiency and outcomes was very important. And I needed a quick win. I needed to have a technology or a solution or an outcome that I would generate very quickly and show to the whole organization that this can be done and we can do this as Coca-Cola. TJ. >>So that was, that was RPA, that was our PA for this fascinates me because you're an incumbent business, been around for a long time. you're a bottler and distributor, right? So yeah, processes are around the bottling plants and the distribution system. Yes. And now you're transforming into a digital business. Yes. I'll put data at your core. Totally not start his daytime customer. Okay. So describe the difference between the traditional business and what it looks like when you've transformed, particularly from a data perspective. And then I want to understand what role RPA plays. So we are definitely a very data rich company, however, to call ourselves data rich and to call it a strategic asset, I first need to capture and control my data and I have to treat it like a strategic asset. So that is a huge transformation. The second, once you treat it as an asset, how do you generate more insights? >>And I call this augmenting the gut feeling. I have an amazing gut feeling in the company. How do I augment that with data and provide our, this is partners and then our customers and our suppliers and some of the information. And then obviously future maturity level is, you know, shared economy and data monetization, et cetera. So that's how I describe within the company. And then assets, other assets like our plants and coolers cooler, we call it cooler, you know, where do you actually see all our products? They are called, they are visible and they are available, but they are also in that set where I can turn them into a digital cooler and I can do so much more with the cooler that standing. And I recently, in one of our leadership meetings I said we have as many coolers as the um, population on the fishy Island, which is close to 1 million. >>So just imagine in this new world, in this digital era, everything that you can do by just having a cooler, 1 million coolers present out there on the street, I can serve the consumers, I can serve customers with very different information. So that's kind of what I mean by turning the business into a digital business. So that's an awesome story. By the way, how does RPA fit into that vision? RPA is everywhere in division. So I said when I started the journey, uh, any digital journey has some Muslim battles for me. There are four must win battles. I need to get certain things right in it, in the, and that was one, one of the Mustin battles was alteration. So we have to create efficiency, we have to optimize, we have to streamline. And we said automation first. Um, and we started with, I call it robotics and automation. >>And I agree with what you said, Christina. It's more than just robots. It's actually a strategic application. It could be a good old ERP. It's the RPA, it's AI, it's all the other technologies that are out there that they bring the two of them brings. So how do you create this end to end solution using all the trends, technologies to create optimization? Uh, our goal was how do we get back to our customer much faster. We had so many customer facing processes and they're going to be there forever. They are a very customer centric customer into company obviously. So how do I get back to my customer faster? How do I make my employees just happy? They were working on so many things would be until midnight over time during weekends. How do I take that away from them? So we called it lifting the weight of the shoulders and giving you a new capabilities. So again, augmentation and then giving them that space. So we had uh, three of my employees upskilled and reskilled themselves. They became a developers in the robotics space, a couple of fire functional, um, colleagues are now reskilling themselves because now they have the time to reskill. More importantly, they have the time to actually leverage their expertise and they are so much more motivated. The engagement, the employee engagement is increasing. So that's how we are positioning RPA. Pristina ICU >>nodding a lot, your head too. A lot of what Layla is saying. I'm wondering if you can talk to about any best practices that have emerged as you've implemented RPA at Generali to what you've learned. Yes, for sure. Um, we have a lot of processes automated, uh, all around the group. Uh, but we are not, we have not reached our maximum or, uh, benefits, uh, gaining. So what we need to do right now is to try to boost the smart process automation, uh, via analyzing the issue around value, Cena. So each business area of the value chain because currently we have countries that has, that have a different level of maturity. So, so some countries are at the very beginning and we have to help them with best practice sharings with a huge case, successful use cases. And we are, uh, we have a lot of help from parts into, in this because locally and who I Potter as a, a very strong presence and is very powerful in doing that. >>And, uh, now, uh, our next mouth are very focused on try to, um, uh, deep dive, the vertical, our area of the issue around value chain and identify which are the processes inside them are best to automated. Uh, uh, Basinger. Uh, these activities are not so you, I part, we'd, his experience has created a heat mapper, value chain Heath mapper. And so it's given up as some advice where to focus our strengths, our hand energy in automating. And I think that this is a very huge, uh, uh, support that you are UI parties given us. So it's not just a matter of, okay, let's start, uh, uh, do some, uh, process assessment in order to identify which processes are the best candidates to be automated. But, uh, we have, uh, how our back, uh, us. So we, we are, uh, we have the backing of UI pass saying it's better to do that and automate in depth, uh, processes of that, but Oh, the value chain. So we are starting a program to do that with all the countries or the vertical area of the country. So, and I think that this could really bring a, uh, high benefits and can, uh, uh, drive us to, uh, really having a scaling up in using a smart process, automation and UI. But you a bot ecosystem not only are, so >>one of the nice things about RPA is you can take the software robots and apply them to an existing process. A lot of times changing processes and a lot of times almost always changing processes is painful. However, we've talked to some customers that have said by applying RPA to our business, it's exposed some really bad processes. Have you experienced that and can you maybe share that experience with it? Absolutely. So for us, one of the initial, um, robots, we applied to a customer facing process. It was our field team trying to get back to our customer with a, with some information. And we realize that the, um, the cycle time was very long. And the reason is there are four functions involved in answering the question and seven different applications are being touched all the way from XL to ERP to CRM. So what we did obviously bringing a strategic solution to fix the cycle time and reduce that to streamline the process was going to take us long. So RPA was great help. We reduced the cycle time by putting a robot and we were able to get back to ours, priests, sales team in the field in matter of minutes. What used to take hours was now being responded to in minutes. Now that doesn't mean that process is perfect, but that's our next step. So we created value for our customer and our sales team within the field, um, before, you know, streamlining and going into a bigger initiatives. So then you could share Christina. >>Yes. Uh, so, um, it is necessary to automate something that could be automated. So, uh, it is necessarily to out optimize the process before automating it, but sometimes it's better to automate it as Caesar because, uh, also the not optimize the process can bring value if ultimated. So let me share an example. If you, for example, have to migrate some data obviously is a one shot, uh, uh, activity. But with the robot you can do it in a very short, well sharp timer. Maybe it's not the best, uh, process to be automated, but that could be useful as well. So it's always a matter of understanding the costs and the benefits. Uh, and sometimes, uh, FBA is very quickly, is very quick to be implemented and can be, can have a, also a lot of savings instead of integrating instead of doing more complex things. >>And then other things, uh, that it's important to take into account is that, uh, uh, after having a automating goal, all the low hanging fruits and so the processes with a low cost, uh, uh, low complexity and high benefits, uh, then it starts to facer when it's necessary to understand how to the end to end processes. Because, uh, it happens, uh, in, uh, some of our countries that, uh, the second phase is very difficult because, uh, the situation is that you have very, um, a lot of very fermented processes. And so before automating it is necessary to apply operational efficiency methodology, lean six Sigma, rare business process for engineering and then automate it. So it's a longer trip. And our Amer as group head office in general is to give these kinds of methodologies and best practices for all kinds of level of maturity in our countries. So finally, w what is the customer is the employee response then in terms of how you're talking a lot about streamlining, getting rid of these tedious tasks that took forever, how, how our employees reacting to the implementation. >>So we, um, we actually launched the, uh, announce announced RPA robotics and automation with a Hekaton in our company. And we invited 40 colleagues from various functions and two and everybody from the business was there and they participated actually in gathering ideas and prioritizing what matters most to the company. And we looked at customer, we looked at compliance, we look to the employee and we actually with during the hackathon you iPad team helped us to go live with one of the robots. They were mesmerized. They couldn't believe that this could happen. I think that's where we kind of engaged them and now going forward everyone who generate the idea was part of the building of the robots so they continue to be engaged to me allowed them to name the robots so they start naming and once the robots were alive yet literally had some of our teams who are dancing from happiness and I think that said it all. That was the strongest voice of our business partner and we published that video. So our business partners became our advocates and that's really our how we born the robotic and automation within CCI. We have so many advocates right now they are coming to us. Our business partners are coming to us with more use cases and they are actually, they are sharing with rest of the system within Coca-Cola and with the group that we are part of locally in Turkey, they are sharing their stories. So now we have a hype going on in the system. >>Yes. And in generally, um, at the beginning, uh, we face some fears in our employees fears of losing their job, but fear is not be able to use this kind of technology. Uh, but, uh, also with the help of HR because I, Charlie is, uh, driving a huge program of upskilling and reskilling of people. Uh, nowadays, uh, also hand user are very happy to use robotics, uh, because, uh, uh, when they realize that they can really help in their activities, in their very boring and not useful activities, they are very happy to enjoy this, this program. But it is so, uh, it, it was a trip, a journey with the employees to make them understand that it's not something that, uh, is affecting their job. So, at least in generally group, we are, we are programming, uh, these, uh, uh, or employees, uh, journey in order to make them, uh, uh, to have more, uh, uh, awareness about robotics and not be scared about it. Layla and Christina, thank you both so much for coming on the cube. It was wonderful. Thank you very much for you. I'm Rebecca Knight for Dave Volante. Please stay tuned for more of the cubes live coverage of UI path forward.

>> from our studios in the heart of Silicon Valley, Palo Alto, California. It is a cute conversation. >> Levan, Welcome to this Cube conversation. I'm John for a host of the Cube here in our Cube Studios in Palo Alto, California. Harder Silicon Valley world startups are happening on the venture capitalists air. Here we have with us. O'Neill, Deli Wall, Who is the general partner Amplify Partners and Founder co found with Mike Dauber. You guys have a very successful firm. I've known you since the beginning. When you started this firm. You guys were very successful on your third fund. Congratulations. Thank you. Great to see you. Thanks for coming in. It's always fun >> to be back. Yours? First time we're doing it in person. >> Local as it posted out of the conference. Yeah. Got our studio here. We're kicking off two days a week. Soon to be five days or weeks. Folks watching studio will be open for a lot more. Start up coverage. So great to have you in. And congrats on 10 years for you guys. 10 years of the Cube. 10th year of'em world would do in a big special. So nice we're excited. Well, for another great 10 years have been a lot of fun. A lot of interesting things happen those 10 years and again, you've been on the track to foot during that time. Yeah, on, by the way, Congratulations, fastly when public, thank you very much. And you also investing early investor in Data Dog, which you probably can't comment on, but they look like they're gonna go public. It's a great business >> and it's moving the right direction. And I think they got a lot of happy users. So there's more good stuff in the future for them. >> So you guys came out early, Made big bets. They're paying off two of them. Certainly one. Did another one come around the bikemore. Take it. Give us update on Amplify Partners Current fund. Third Fund gives the numbers. How much? What do you guys investing in with some of the thesis? What's the vision? >> Yeah, the vision is really simple. So amplify has been around from the beginning to work with technical founders. And really, if you wanted to stop there, you could you know, we're the people that engineers, academics, practitioners, operators that they go to get their first capital when they are thinking about starting a company or have a niche that they just feel the need to scratch. We tend to be first call for those folks a lot of times before they even know that they're going to start something. And so we've been doing that. Investing at seeding Siri's A with those people in these really technical enterprise markets now for seven years. Third fund most recent funds a $200,000,000 fund and that has us doing everything from crazy pie in the sky. First check into, ah, somebody with wild vision to now bigger Siri's a lead Rounds, which we're doing a lot more of two. >> So on the business model, just to get a clear personal congratulations Really good venturing by the way. That's what venture capital should be First money in, You know, people not doing the big round. So that's a congratulated, successful thank you now that you have 200,000,000 Plus, are you file doing follow on rounds? Are you getting in on the pro rat eyes? Are you guys following on? Because he's Sonny's big head, sir. Pretty, pretty big. >> Yeah, we've been doing that from the beginning and I think we've always wanted to be people who will start early and go along. We've invested in every round that fastly did we invested in every round that data dog did. So yeah, we're long term supporters and we can go along with the company's. But our differentiation isn't showing up and being the guys who were gonna lead your Siri's g round at a $3,000,000,000 valuation, which might as well be your AIPO were really there to help people figure out how to recruit a Kick ass team and figure out how to find product market fit and get that engine working >> and also help be a friend of the on the same side of the tables and rather than being the potentially out of the side. So the question is, I know you guys do step away and don't go on board. Sometimes you do. Sometimes you don't. Was there a formula there? Do you go on the boards as further in the round? You happy the relief? It's a >> mix of, uh, you know, we talked about a couple of these cos fastly. I've been on the board since Day zero and data dog. I was never on the board. And you know what we do tend to be those pretty active. So people come work with us when they go. I've got this vision. I know where I want to go. But when I think about the hard things I've got to do over the 1st 2 to 3 years of a company's life, you know who I want by my side and not the person who wants to be my boss or tell me what to do or tell me why they need to own 1/3 of my company or control four seeds on my board. But who kind of what's it wants to sit shoulder to shoulder with me and probably has a long list of companies that look just like mine. Uh, that tell me that they're going to decent partner. >> We've had a lot of fun together. You and Mike the team and fly. Great party. Great networking. You gotta do that. >> Thank you. Great. Great party. Should hopefully my >> tombstone. Well, you gotta have the networking, and that's always good. Catalyst. That lubricant, if they say, is to get people going. But you guys were hanging out with us and the big data space that had Duke World. We saw Cloudera got to activist board members. That's not looking good there. It's unfortunate big friend of Amer Awadallah, but what ended up happening was cloud Right Cloud kind of changed the game a little bit, didn't change big data as an industry was seeing eye machine learning booming. So, you know, big data had duped change certainly cloud our speculation. But looking back over those 10 years, you saw the rise of the cloud really become Maur of a force than some people thought that most people thought Dev Ops really became the cultural shift. If I had to point to anything over the 10 years, it's Dev Ops, which is implies day to talk about your reaction to that because certainly independent on enabler, but also change the game a bit. >> It has its exploded. There's a couple things in there, so I think there's been a lot of innovation that's coming in the cloud platforms. There's a lot of innovation that cloud platforms have sucked up. We look at that. A lot of guys who back startups, one of things we always say is Hey, is this a primitive? Is this an infrastructure primitive? Because if it is, it's probably gonna be best delivered by a big platform unless you're able to deliver a very compelling and differentiated solution or service around it. And that's different. You know, it's it's different than having a solely a a p I accessible primitive that, you know you would swap out with the next thing if it was, you know, two cents cheaper or 2% faster. So when I think about what's been happening in the cloud, this kind of cloud to, oh, phenomena starts coming up, which is a lot of hell that excited very early on. It was about storage and compute and the real basic building blocks. But now you see people building really compelling experiences for developers, for database engineers for application developed owners all the way up and down this stack that yeah, there cloud companies, but they look a heck of a lot like more like solutions. And, you know, we've mentioned a couple companies in our portfolio that air going great. But there there's a ton of companies that we admire. You know, I look at what the folks that at Hashi Corp have done and what they continue to do. You know what a great business in in security and in giving people automation and configuration that that hasn't been there before. That's a phenomenal I >> mean, monitoring you mentioned is a monitoring to point out going on, he said. Pager duty Got a dining trace. These companies public this year, both public, and you got more coming around the corner, you got analytics is turning. That's calling it mean monitoring has been around for a long time. Observe ability. Now it's observe ability is the monitoring two point. Oh, and that's taking advantage of this Dev Ops Growth. Yeah, this is really the big deal. >> Yeah, well, it's if you're really getting into. And what a lot of this comes down to is velocity, right? A lot of people are trying to deliver software faster, deliver it more reliably, take away the bottlenecks that air between the vision that a product person has the fingers on the keyboard and the delightful experience that a user gets and that has a lot of gates. And I think one of the things that Dev Ops is really enabled is how do you shrink that time? And when you're trying to shrink that time and you're trying to say, Hey, if someone's can code it, we can push it well, that's a great way to do things except if you don't know what you've pushed and things were failing. So as velocity increases, the need to have an understanding of what's going on is going right alongside of it. >> So I want to get your thoughts on enterprise scale because cloud 2.0, it really is about enterprise. You guys have invested in pure cloud native startups. You've invested a networking invested in open sores. You guys house will have, ah, struggle. You are. But I have a strong view on Dev, Ops and Cloud to point out. But the enterprise is now experiencing that, and you guys also done a lot of enterprise deals. What's the intersection of the enterprise as it comes in with cloud two point? Oh, you're seeing Intelligent Edge being discussed Hybrid multi cloud, these air kind of the structural big kind of battle grounds with the changes. How do you guys look at that? How do you invest in that? How do you look for startups in that area? >> Yeah, well, I think we invest in it by starting from the perspective of the customer. What's the problem? And the problem is, a lot of times people know their security. There's compliance. And a lot of cases. There's a legacy infrastructure, right? But the it's not a green field environment is nowhere more applicable than in the enterprise. And so when you think about customers that are gonna need to accommodate the investments the last five and 10 years as well as this beautiful new vision of what the future is, you know you're talking basically talking about every enterprise CEOs problems. So we think a lot about companies that can solve those riel clear enterprise pain points security. One of them, um, we've had a bunch of successful cloud security companies that have been acquired already. We've got great stuff in compliance and data management and awesome company like Integris. That's up in Seattle and in really making sure that projects and software works well with legacy and more traditional enterprise environments, companies like replicated down in L. A. Um, you know, those folks have really figured out what it means to deliver modern on premise software and modern on premise really is, you know, in your V p c in your own environment in your own cloud. But that's on Prem Now that is what on Prem really looks like no one's rack and stack and servers in the closet. It's cloud operations. But if you're going to do that and you're gonna integrate all those legacy investments you've made in an audit, Maxis control et cetera, and you wanna put that together with modern cloud applications, your sass vendors, et cetera. You know you can't really do that in the native cloud unless you can really make it work for the enterprise. >> What is some of the market basket sectors that you see? Where the market second half of our market sectors that have a market basket of companies forming around it? You mentioned drivability. Obviously, that's one we're seeing. Clear map of a landscape developed there. Yeah, okay. Is there other areas just seeing a landscape around this cloud to point out that that are either knew or reconfigurations of other markets? Machine learning What's what. The buckets? What the market's out there that people are clustering around with some of the big >> high level. Well, I think one of things you're gonna see talking about new markets and people people. There's a bunch of It'll tell you what's already happening in history today. But if you want to talk about what's coming, that isn't really on people's radar screen, I think there's a lot that's happening in machine learning and data science infrastructure. And if you're a cloud vendor in the public cloud today, you are really ramping up quickly to understand what the suite of offerings are that you're gonna offer to both ML developers as well as traditional, you know, non machine learning natives to help them incorporate. You know what is really a powerful set of tools into their applications, and that could be model optimization. It could be, um, helping manage cost and scalability. It could be working on explain ability. It could be working on, um, optimizing performance with the introduction of different acceleration techniques. All of that stack is really knew. You know, people gobbled up tensorflow from Google, and that was a great example of what you could do if you turned on ml specific. You know, tooling for for developers. But I think there's a lot more coming there, and we're just starting to see the beginning. >> It's interesting you bring this up because I've been thinking about this and I really haven't been talking about a publicly other than the cloud to point. It was kind of a generic area, but you're kind of pointing out the benefits of what cloud does. I mean, the idea of not having to provision something or invest a lot of cash to just get something up and running fast with this machine learning tooling that's the big problem was stacking everything up and getting it all built >> right goes back. The velocity were talking about earlier, right? >> So velocity is the key to success. Could be any category to be video. It could be, um, you know, some anything. So we're >> also seeing another. The other side of it is, is another form of velocity is we're going to Seymour that's happening and things that look like low code or no code, so lowering the barriers for someone doesn't have to be a true native or an expert in domain, but can get all the benefits of working with, Let's say, ml tooling, right? How do you make this stuff more accessible? So you don't need a phD from Berkeley or Stanford to go figure it out right? That's a huge market. That's just stop happening. We've got a ah phenomenal come way company in New York called Runway ML that has huge adoption. Their platform and their magic is Hey, here's how we're gonna bring ML to the creative class. If you're creative and you want to take advantage of ML techniques and the videos you're working on, the content that you're creating, maybe there's something you can do here at the Cube. You know, these guys were figure out how to do that and saying, Look, we know you're not a machine learning native. Here's some simple, primitive >> Well, this screen, you know, doesn't talk about video, but serious. We have a video cloud of people have seen it out there, demo ing, seeing highlights going around. But you bring up a good point. If we want to incorporate State machine learning into that, I can just connect to a service. I mean slack, I think, is the poster child for how they grew a service that's very traditional a message board put a great you around it. But the A P I integrations were critical for that. They've created a great way to do that. So this is the whole service is game. Yeah, this is the velocity and adding functionality through service is >> Yeah, And this is this this idea that, um the workflow is what matters. I think it has not traditionally been a thing that we talked a lot about an enterprise infrastructure. It was. Here's your tool. It's better than the previous two or three years ago. Throat the new ones by this one. And now people are saying, Well, I don't want to be wed to the tool. What I really want to understand is a process in a workflow. How should I do this? Right? And if I If I do that right, then you're not gonna be opinionated as to whether I'm using Jiro for you know, you're for managing issues or something else or if it's this monitoring the other. >> So I got to get the VC perspective on this because what you just said, she pointed out, is what we've been talking about as the new I p. The workflow is the I P. That translates to an application which then could be codified and scaled up with infrastructure, cloud and other things that becomes the I P. How do you guys identify that? Is that do you first? Do you agree with that? And then, too, how do you invest into that? Because it's not your traditional few of things. If that's the case, do you agree with it? And if you do, how do you invest in? >> I've modified slightly. It's the marriage of understanding that work flow with the ability to actually innovate and do something different. That's the magic. And so I'll give you a popular problem that we see amongst a lot of start ups that come see us. Uh, I am the best, and I'll pick on machine learning for a second. I've you know, I've got the best natural language processing team in this market. We're going to go out and solve the medical coding and transcription and building problem. Hey, sounds awesome. You got some great tech. What do you know about medical transcription and building? Uh, we gotta go hire that person. Do you know how doctors work? Do you know how insurance companies work. That's kind of Byzantine. How? You know, payers and providers, we're gonna work together. We'll get back to you that companies not gonna be that successful in the marriage of that work. >> Full knowledge. Good idea. Yeah, expertise in the work edge of the workflow. >> Well, traditionally, you get excited about the expertise in attack and what you realize in a lot of these areas. If you care about work full, you care about solutions. It's about the marriage of the two. So when you look across our portfolio in applied A I and machine learning, we've actually got shockingly nine companies now that are at the intersection of, um, machine intelligence and health care, both pre clinical and clinical. And people are like, Wow, that's really surprising for, ah, for an infrastructure firm or an enterprise focus firm, like amplifying we're going. No, you know, there's there's groundbreaking ML technology, but we're also finding that people know there's really high value verticals and you put domain experts in there who really understand the solutions, give them powerful tools, and we're seeing customers just adopted >> and that, unlike the whole full stack kind of integration if you're gonna have domain experts in the edge of that work flow, you have the data gathered. It's a data machine learning. I can see the connection. They're very smart, very clever. So I want to get your thoughts on two areas around this cloud to point. I think that come up a lot. Certainly machine learning. You mentioned one of them, but these other ones come up all the time as 2.0, Problems and opportunities. Cloud one. Dato storage, Computing storage. No problem. Easy coat away. Cloud two point. Oh, Networking Insecurity. Yeah, So as the cloud as everyone went to the cloud and cloud one dato there now the clouds coming out of the cloud on premise. So you got edge of the network. So intelligent edge security if you're gonna have low code and no could have better be secure on the cover. So this has become too important. Points your reaction to networking and security as an investor in this cloud. 2.0, vision. >> Yeah, there's different pieces of it. So networking The closer you go to the edge, you say the word ej and edges, you know, a good bit of it is networking, and it's also executing with limited resource is because we could debate what the edge means for probably three hours. >> Writing is very go there, but what it certainly means is you >> don't have a big data center. That's Amazon scale to run your stuff. So you've got to be more efficient and optimized in some dimension. So people that are really at the intersection of figuring out how to move things around efficiently, deliver with speed and reduce late and see giving platforms to developers at the edge, which, you know if you've one of the big reasons for faster going public was to bring their edge. Developments story out to the larger market. Um, absolutely agree with that as it as it relates to broader security. We're seeing security started, stop being a cyclical trend and started becoming a secular one pretty much at the moment the cloud exploded and those things are not, You know, it's not just a coincidence, as people got Maur comfortable with giving up control of the stuff that that had their arms around for years, a perimeter right at the same time that they say we're going through everything online and connect everything up and get over developers whatever they want and bringing all our partners to our. The amount of access to systems grew dramatically right. At the same time, people handed over a lot of these traditional work flows and processes and pieces of infrastructure. So, yeah, I think a lot of people right now are really re platforming to understand what it means to be to build securely, to deploy securely, to run securely. And that's not always a firewall rack and stack boxes and scan packets type of a game. >> Yeah, I'm serious, certainly embedded. And everything's not just part of the applications everywhere. That's native. Yeah, final question for you. What do you guys investing in now? What's the hot areas you mention? Machine learning? Give a quick plug for your key investments. What's the pitch? The entrepreneur? >> Yeah, so again are pitched. The entrepreneur really hasn't changed from Day zero, and I don't see it changing anytime in the future, which is if you're a world beating technologists, you know you want someone who understand what it's like to work with other world beating technologists and take him from start upto I po And that's the thing that we know how to do both in previous career is as well as in the history of Amplified. That's the pitch. The things that we're really excited right now is, um, what does it look like when the best academic experts in the world who understand new areas of machine learning, who are really able to push the forefront of what we're seeing in reinforcement, learning and machine vision and natural language processing are able to think beyond the narrow confines of what the tech can do and really partner of the domain experts? So there is a lot of domain specific applied A i N M l that we're really excited about thes days. We talked about health care, but that is just the tip of the iceberg we're excited about. Financialservices were excited about traditional enterprise work flows. I'd say that that's one big bucket. Um, we're is excited about the developer as we've ever been. >> You know, you and I were talking before he came on camera for the cube conversation. Around our early days in the industry, we were riffing on the O S. I, you know, open systems interconnect, stack if you look at what that did, Certainly it didn't always get standardize. That kind of dinner is up with T C p I p layer, but still, it changed. That changed the game in the computing industry. Now, more than ever, this trend that we're on the next 10 years is really gonna be about stacks involving and just complete horizontal scalability. Elastic resource is new ways to develop Apple case. I mean a completely different ball game. Next 10 years, your your view of the next 10 years as this 1000 flowers start to bloom with stacks changing in new application methods. How do you see it? Yeah, well, >> what Os? I was a great example of this trend that we go through every few months. So many years. You, you, somebody create something new. It's genius. It's maybe a little bit harder than it needs to be in. At some point, you wanted to go mass market and you introduce an abstraction. And the abstractions continue to work as ways to bring more people in and allow them not to be tough to bottom experts. We've done it in the technology industry since the sixties, you know, thank you. Thank you. Semiconductor world All the way on up. But now I think the new abstractions actually look a heck of a lot like the cloud platforms. Right? They're abstractions. People don't. People want toe. Say things like, I am going to deploy using kubernetes. I want a container package. My application. Now let me think from that level. Don't have don't have me think about particular machines don't have to think about a particular servers. That's one great example developments. The same thing. You know, when you talk about low code and no Koda's ideas, it's just getting people away from the complexity of getting down in the weeds. So if you said, What's the next 10 years look like? I think it's going to be this continual pull of making things easier and more accessible for business users abstracting, abstracting, abstracting and then right up into the point where the abstractions get too generalized and then innovation will come in behind it. >> As I always say in the venture business, cool and relevant works and making things simple, easy use and reducing the steps it takes to do something. It's always a winning formula. >> That's pretty good. Don't >> start to fund a consistent Sydney Ellen. Of course not. The cube funds coming in the next 10 years celebrating 10 years. Great to see you. And it's been great to have you on this journey with you guys and amplify. Congratulations. Congrats on all your success is always a pleasure. Appreciate it. Take care. Okay. I'm here with steel. Dolly. Well, inside the key studios. I'm John for your Thanks for watching.

>>so erin you're a technique for a Cloudera, you're a whiz kid from Brown, you have, how many Brown people are engineers here at Cloudera >>as of monday, we have five full timers and two interns at the moment and we're trying to hire more all the time. >>Mhm. So how many interns? >>Uh two interns from Brown this this summer? A few more from other schools? Cool, >>I'm john furry with silicon angle dot com. Silicon angle dot tv. We're here in the cloud era office in my little mini studio hasn't been built out yet, It was studio, we had to break it down for a doctor, ralph kimball, not richard Kimble from uh I called him on twitter but coupon um but uh the data warehouse guru was in here um and you guys are attracting a lot of talent erin so tell us a little bit about, you know, how Claudia is making it happen and what's the big deal here, people smart here, it's mature, it's not the first time around this company, this company has some some senior execs and there's been a lot, a lot of people uh in the market who have been talking about uh you know, a lot of first time entrepreneurs doing their startups and I've been hearing for some folks in in the, in the trenches that there's been a frustration and start ups out there, that there's a lot of first time entrepreneurs and everyone wants to be the next twitter and there's some kind of companies that are straddling failure out there? And and I was having that conversation with someone just today and I said, they said, what's it like Cloudera and I said, uh, this is not the first time crew here in Cloudera. So, uh, share with the folks out there, what you're seeing for Cloudera and the management team. >>Sure. Well, one of the most attractive parts about working Cloudera for me, one of the reasons I, I really came here was have been incredibly experienced management team, Mike Charles, they've all there at the top of this Oregon, they have all done this before they founded startups, Growing startups, old startups and uh, especially in contrast with my, the place where I worked previously. Uh, the amount of experience here is just tremendous. You see them not making mistakes where I'm sure others would. >>And I mean, Mike Olson is veteran. I mean he's been, he's an adviser to start ups. I know he's been in some investors. Amer was obviously PhD candidates bolted out the startup, sold it to yahoo, worked at, yahoo, came back finish his PhD at stanford under Mendel over there in the PhD program over this, we banged in a speech. He came back entrepreneur residents, Excel partners. Now it does Cloudera. Um, when did you join the company and just take us through who you are and when you join Cloudera, I want your background. >>Sure. So I, I joined a little over a year ago is about 30 people at the time. Uh, I came from a small start up of the music online music store in new york city um uh, which doesn't really exist all that much anymore. Um but you know, I I sort of followed my other colleagues from Brown who worked here um was really sold by the management team and also by the tremendous market opportunity that that Hadoop has right now. Uh Cloudera was very much the first commercial player there um which is really a unique experience and I think you've covered this pretty well before. I think we all around here believe that uh the markets only growing. Um and we're going to see the market and the big data market in general get bigger and bigger in the next few years. >>So, so obviously computer science is all the rage and and I'm particularly proud of hangout, we've had conversations in the hallway while you're tweeting about this and that. Um, but you know, silicon angles home is here, we've had, I've had a chance to watch you and the other guys here grow from, you know, from your other office was a san mateo or san Bruno somewhere in there. Like >>uh it was originally in burlingame, then we relocate the headquarters Palo Alto and now we have a satellite up in san Francisco. >>So you guys bolted out. You know, you have a full on blow in san Francisco office. So um there was a big busting at the seams here in Palo Alto people commuting down uh even building their burning man. Uh >>Oh yeah sure >>skits here and they're constructing their their homes here, but burning man, so we're doing that in san Francisco, what's the vibe like in san Francisco, tell us what's going on >>in san Francisco, san Francisco is great. It's, I'm I live in san Francisco as do a lot of us. About half the engineering team works up there now. Um you know we're running out of space there certainly. Um and you're already, oh yeah, oh yeah, we're hiring as fast as we absolutely can. Um so definitely not space to build the burning man huts there like like there is down, down in Palo Alto but it's great up there. >>What are you working on right now for project insurance? The computer science is one of the hot topics we've been covering on silicon angle, taking more of a social angle, social media has uh you know, moves from this pr kind of, you know, check in facebook fan page to hype to kind of a real deal social marketplace where you know data, social data, gestural data, mobile data geo data data is the center of the value proposition. So you live that every day. So talk about your view on the computer science landscape around data and why it's such a big deal. >>Oh sure. Uh I think data is sort of one of those uh fundamental uh things that can be uh mind for value across every industry, there's there's no industry out there that can't benefit from better understanding what their customers are doing, what their competitors are doing etcetera. And that's sort of the the unique value proposition of, you know, stuff like Hadoop. Um truly we we see interest from every sector that exists, which is great as for what the project that I'm specifically working on right now, I primarily work on H. D. F. S, which is the Hadoop distributed file system underlies pretty much all the other um projects in the Hadoop ecosystem. Uh and I'm particularly working with uh other colleagues at Cloudera and at other companies, yahoo and facebook on high availability for H. D. F. S, which has been um in some deployments is a serious concern. Hadoop is primarily a batch processing system, so it's less of a concern than in others. Um but when you start talking about running H base, which needs to be up all the time serving live traffic than having highly available H DFS is uh necessity and we're looking forward to delivering that >>talk about the criticism that H. D. F. S has been having. Um Well, I wouldn't say criticism. I mean, it's been a great, great product that produced the HDs, a core parts of how do you guys been contributing to the standard of Apache, that's no secret to the folks out there, that cloud area leads that effort. Um but there's new companies out there kind of trying a new approach and they're saying they're doing it better, what are they saying in terms and what's really happening? So, you know, there's some argument like, oh, we can do it better. And what's the what, why are they doing it, that was just to make money do a new venture, or is that, what's your opinion on that? Yeah, >>sure. I mean, I think it's natural to to want to go after uh parts of the core Hadoop system and say, you know, Hadoop is a great ecosystem, but what if we just swapped out this part or swapped out that part, couldn't couldn't we get some some really easy gains. Um and you know, sometimes that will be true. I have confidence that that that just will not simply not be true in in the very near future. One of the great benefits about Apache, Hadoop being open source is that we have a huge worldwide network of developers working at some of the best engineering organizations in the world who are all collaborating on this stuff. Um and, you know, I firmly believe that the collaborative open source process produces the best software and that's that's what Hadoop is at its very core. >>What about the arguments are saying that, oh, I need to commercialize it differently for my installed base bolt on a little proprietary extensions? Um That's legitimate argument. TMC might take that approach or um you know, map are I was trying to trying to rewrite uh H. T. F. >>S. To me, is >>it legitimate? I mean is there fighting going on in the standards? Maybe that's a political question you might want to answer. But give me a shot. >>I mean the Hadoop uh isn't there's no open standard for Hadoop. You can't say like this is uh this is like do compatible or anything like that. But you know what you can say is like this is Apache Hadoop. Uh And so in that sense there's no there's no fighting to be had there. Um Yeah, >>so yeah. Who um struggling as a company. But you know, there's a strong head Duke D. N. A. At yahoo, certainly, I talked with the the founder of the startup. Horton works just announced today that they have a new board member. He's the guy who's the Ceo of Horton works and now on bluster, I'm sorry, cluster announced they have um rob from benchmark on the board. Uh He's the Ceo of Horton works and and one of my not criticisms but points about Horton was this guy's an engineer, never run a company before. He's no Mike Olson. Okay, so you know, Michaelson has a long experience. So this guy comes into running and he's obviously in in open source, is that good for Yahoo and open sources. He they say they're going to continue to invest in Hadoop? They clearly are are still using a lot of Hadoop certainly. Um how is that changing Apache, is that causing more um consolidation, is that causing more energy? What's your view on the whole Horton works? Think >>um you know, yahoo is uh has been and will continue to be a huge contributor. Hadoop, they uh I can't say for sure, but I feel pretty confident that they have more data under management under Hadoop than anyone else in the world and there's no question in my mind that they'll continue to invest huge amounts of both key way effort and engineering effort and uh all of the things that Hadoop needs to to advance. Um I'm sure that Horton works will continue to work very closely with with yahoo. Um And you know, we're excited to see um more and more contributors to to Hadoop um both from Horton works and from yahoo proper. >>Cool, Well, I just want to clarify for the folks out there who don't understand what this whole yahoo thing is, It was not a spin out, these were key Hadoop core guys who left the company to form a startup of which yahoo financed with benchmark capital. So, yahoo is clearly and told me and reaffirm that with me that they are clearly investing more in Hadoop internally as well. So there's more people inside, yahoo that work on Hadoop than they are in the entire Horton's work company. So that's very clear. So just to clear that up out there. Um erin. so you're you're a young gun, right? You're a young whiz like Todd madam on here, explain to the folks out there um a little bit older maybe guys in their thirties or C IOS a lot of people are doing, you know, they're kicking the tires on big data, they're hearing about real time analytics, they're hearing about benefits have never heard before. Uh Dave a lot and I on the cube talk about, you know, the transformations that are going on, you're seeing AMC getting into big data, everyone's transforming at the enterprise level and service provider. What explains the folks why Hadoop is so important. Why is that? Do if not the fastest or one of the fastest growing projects in Apache ever? Sure. Even faster than the web server project, which is one of the better, >>better bigger ones. >>Why is the dupes and explain to them what it is? Well, you know, >>it's been it's pretty well covered that there's been an explosion of data that more data is produced every every year over and over. We talk about exabytes which is a quantity of data that is so large that pretty much no one can really theoretically comprehend it. Um and more and more uh organizations want to store and process and learn from, you know, get insights from that data um in addition to just the explosion of data um you know that there is simply more data, organizations are less willing to discard data. One of the beauties of Hadoop is truly that it's so very inexpensive per terabyte to store data that you don't have to think up front about what you want to store, what you want to discard, store it all and figure out later what is the most useful bits we call that sort of schema on read. Um as opposed to, you know, figuring out the schema a priority. Um and that is a very powerful shift in dynamics of data storage in general. And I think that's very attractive to all sorts of organizations. >>Your, I'll see a Brown graduate and you have some interns from Brown to Brown um, Premier computer science program almost as good as when I went to school at Northeastern University. >>Um >>you know, the unsung heroes of computer science only kidding Brown's great program, but you know, cutting edge computer science areas known as obviously leading in a lot of the computer science areas do in general is known that you gotta be pretty savvy to be either masters level PhD to kind of play in this area? Not a lot of adoption, what I call the grassroots developers. What's your vision and how do you see the computer science, younger generation, even younger than you kind of growing up into this because those tools aren't yet developed. You still got to be, you're pretty strong from a computer science perspective and also explained to the folks who aren't necessarily at the browns of the world or getting into computer science, what about, what is that this revolution about and where is it going? What are some of the things you see happening around the corner that that might not be obvious. >>Sure there's a few questions there. Um part of it is how do people coming out of college get into this thing, It's not uh taught all that much in school, How do how do you sort of make the leap from uh the standard computer science curriculum into this sort of thing? And um you know, part of it is that really we're seeing more and more schools offering distributed computing classes or they have grids available um to to do this stuff there there is some research coming out of Brown actually and lots of other schools about Hadoop proper in the behavior of Hadoop under failure scenarios, that sort of stuff, which is very interesting. Google uh actually has classes that they teach, I believe in conjunction with the University of Washington um where they teach undergraduates and your master's level, graduate students about mass produced and distributed computing and they actually use Hadoop to do it because it is the architecture of Hadoop is modeled after um >>uh >>google's internal infrastructure. Um So you know that that's that's one way we're seeing more and more people who are just coming out of college who have distributed systems uh knowledge like this? Um Another question? the other part of the question you asked is how does um how does the ordinary developer get into this stuff? And the answer is we're working hard, you know, we and others in the hindu community are working hard on making it, making her do just much easier to consume. We released, you cover this fair bit, the ECM Express project that lets you install Hadoop with just minimal effort as close to 11 click as possible. Um and there's lots of um sort of layers built on top of Hadoop to make it more easily consumed by developers Hive uh sort of sequel like interface on top of mass produce. And Pig has its own DSL for programming against mass produce. Um so you don't have to write heart, you don't have to write straight map produced code, anything like that. Uh and it's getting easier for operators every day. >>Well, I mean, evolution was, I mean, you guys actually working on that cloud era. Um what about what about some of the abstractions? You're seeing those big the Rage is, you know, look back a year ago VM World coming up and uh little plugs looking angle dot tv will be broadcasting live and at VM World. Um you know, he has been on the Q XV m where um Spring Source was a big announcement that they made. Um, Haruka brought by Salesforce Cloud Software frameworks are big, what does that look like and how does it relate to do and the ecosystem around Hadoop where, you know, the rage is the software frameworks and networks kind of collide and you got the you got the kind of the intersection of, you know, software frameworks and networks obviously, you know, in the big players, we talk about E M C. And these guys, it's clear that they realize that software is going to be their key differentiator. So it's got to get to a framework stand, what is Hadoop and Apache talking about this kind of uh, evolution for for Hadoop. >>Sure. Well, you know, I think we're seeing very much the commoditization of hardware. Um, you just can't buy bigger and bigger computers anymore. They just don't exist. So you're going to need something that can take a lot of little computers and make it look like one big computer. And that's what Hadoop is especially good at. Um we talk about scaling out instead of scaling up, you can just buy more relatively inexpensive computers. Uh and that's great. And sort of the beauty of Hadoop, um, is that it will grow linearly as your data set as your um, your your scale, your traffic, whatever grows. Um and you don't have to have this exponential price increase of buying bigger and bigger computers, You can just buy more. Um and that that's sort of the beauty of it is a software framework that if you write against it. Um you don't have to think about the scaling anymore. It will do that for you. >>Okay. The question for you, it's gonna kind of a weird question but try to tackle it. You're at a party having a few cocktails, having a few beers with your buddies and your buddies who works at a big enterprise says man we've got all this legacy structured data systems, I need to implement some big data strategy, all this stuff. What do I do? >>Sure, sure. Um Not the question I thought you were going to ask me that you >>were a g rated program here. >>Okay. I thought you were gonna ask me, how do I explain what I do to you know people that we'll get to that next. Okay. Um Yeah, I mean I would say that the first thing to do is to implement a start, start small, implement a proof of concept, get a subset of the data that you would like to analyze, put it, put Hadoop on a few machines, four or five, something like that and start writing some hive queries, start writing some some pig scripts and I think you'll you know pretty quickly and easily see the value that you can get out of it and you can do so with the knowledge that when you do want to operate over your entire data set, you will absolutely be able to trivially scale to that size. >>Okay. So now the question that I want to ask is that you're at a party and I want to say, what do you >>do? You usually tell people in my hedge fund manager? No but seriously um I I tell people I work on distributed supercomputers. Software for distributed supercomputers and that people have some idea what distributed means and supercomputers and they figure that out. >>So final question for I know you gotta go get back to programming uh some code here. Um what's the future of Hadoop in the sense of from a developer standpoint? I was having a conversation with a developer who's a big data jockey and talking about Miss kelly gets anything and get his hands on G. O. Data, text data because the data data junkie and he says I just don't know what to build. Um What are some of the enabling apps that you may see out there and or you have just conceiving just brainstorming out there, what's possible with with data, can you envision the next five years, what are you gonna see evolve and what some of the coolest things you've seen that might that are happening right now. >>Sure. Sure. I mean I think you're going to see uh just the front ends to these things getting just easier and easier and easier to interact with and at some point you won't even know that you're interacting with a Hadoop cluster that will be the engine underneath the hood but you know, you'll you'll be uh from your perspective you'll be driving a Ferrari and by that I mean you know, standard B. I tool, standard sequel query language. Um we'll all be implemented on top of this stuff and you know from that perspective you could implement, you know, really anything you want. Um We're seeing a lot of great work coming out of just identifying trends amongst masses of data that you know, if you tried to analyze it with any other tool, you'd either have to distill it down so far that you would you would question your results or that you could only run the very simplest sort of queries over um and not really get those like powerful deep insights, those sort of correlative insights um that we're seeing people do. So I think you'll see, you'll continue to see uh great recommendations systems coming out of this stuff. You'll see um root cause analysis, you'll see great work coming out of the advertising industry um to you know to really say which ad was responsible for this purchase. Was it really the last ad they clicked on or was it the ad they saw five weeks ago they put the thought in mind that sort of correlative analysis is being empowered by big data systems like a dupe. >>Well I'm bullish on big data, I think people I think it's gonna be even bigger than I think you're gonna have some kids come out of college and say I could use big data to create a differentiation and build an airline based on one differentiation. These are cool new ways and, and uh, data we've never seen before. So Aaron, uh, thanks for coming >>on the issue >>um, your inside Palo Alto Studio and we're going to.