>> Live from New York, it's theCUBE, covering theCUBE New York City 2018. Brought to you by SiliconANGLE Media and its ecosystem partners. >> Okay, welcome back, everyone. We're here live in New York City for CUBE NYC. This is our ninth year covering the big data ecosystem, now it's AI, machine-learning, used to be Hadoop, now it's growing, ninth year covering theCUBE here in New York City. I'm John Furrier, with Dave Vellante. Our next guest, Josh Rogers, CEO of Syncsort. I'm going back, long history in theCUBE. You guys have been on every year. Really appreciate chatting with you. Been fun to watch the evolution of Syncsort and also get the insight. Thanks for coming on, appreciate it. >> Thanks for having me. It's great to see you. >> So you guys have constantly been on this wave, and it's been fun to watch. You guys had a lot of IP in your company, and then just watching you guys kind of surf the big data wave, but also make some good decisions, made some good calls. You're always out front. You guys are on the right parts of the wave. I mean now it's cloud, you guys are doing some things. Give us a quick update. You guys got a brand refresh, so you got the new logo goin' on there. Give us a quick update on Syncsort. You got some news, you got the brand refresh. Give us a quick update. >> Sure. I'll start with the brand refresh. We refreshed the brand, and you see that in the web properties and in the messaging that we use in all of our communications. And, we did that because the value proposition of the portfolio had expanded so much, and we had gained so much more insight into some of the key use cases that we're helping customers solve that we really felt we had to do a better job of telling our story and, probably most importantly, engage with the more senior level within these organizations. What we've seen is that when you think about the largest enterprises in the world, we offer a series of solutions around two fundamental value propositions that tend to be top of mind for these executives. The first is how do I take the 20, 30, 40 years of investment in infrastructure and run that as efficiently as possible. You know, I can't make any compromises on the availability of that. I certainly have to improve my governance and secureability of that environment. But, fundamentally, I need to make sure I could run those mission-critical workloads, but I need to also save some money along the way, because what I really want to do is be a data-driven enterprise. What I really want to do is take advantage of the data that gets produced in these transactional applications that run on my AS400 or IBM I-infra environment, my mainframe environment, even in my traditional data warehouse, and make sure that I'm getting the most out of that data by analyzing it in a next-generation set of-- >> I mean one of the trends I want to get your thoughts on, Josh, cause you're kind of talking through the big, meagatrend which is infrastructure agnostic from an application standpoint. So the that's the trend with dev ops, and you guys have certainly had diverse solutions across your portfolio, but, at the end of the day, this is the abstraction layer customers want. They want to run workloads on environments that they know are in production, that work well with applications, so they almost want to view the infrastructure, or cloud, if you will, same thing, as just agnostic, but let the programmability take care of itself, under the hood, if you will. >> Right, and what we see is that people are absolutely kind of into extending and modernizing existing applications. This is in the large enterprise, and those applications and core components will still run on mainframe environments. And so, what we see in terms of use cases is how do we help customers understand how to monitor that, the performance of those applications. If I have a tier that's sitting on the cloud, but it's transacting with the mainframe behind the firewall, how do I get an end-to-end view of application performance? How do I take the data that ultimately gets logged in a DB2 database on the mainframe and make that available in a next-generation repository, like Hadoop, so that I can do advanced analytics? When you think about solving both the optimization and the integration challenge there, you need a lot of expertise in both sides, the old and the new, and I think that's what we uniquely offer. >> You guys done a good job with integration. I want to ask quick question on the integration piece. Is this becoming more and more table stakes, but also challenging at the same time? Integration and connecting systems together, if their stateless, is no problem, you use APIs, right, and do that, but as you start to get data that needs state information, you start to think to think about some of the challenges around different, disparate systems being distributed, but networked, in some cases, even decentralized, so distributed networking is being radically changed by the data decisions on the architecture, but also integration, call it API 2.0 or this new way to connect and integrate. >> Yeah, so what we've tried to focus on is kind of solving that piece between these older applications that run these legacy platforms and making them available to whatever the consumer is. Today, we see Kafka and in Amazon we see Kinesis as kind of key buses delivering data as a service, and so the role that we see ourselves playing and what we announced this week is an ability to track changed data, deliver it in realtime in these older systems, but deliver it to these new targets: Kafka, Kinesis, and whatever comes next. Because really that's the fundamental partner we're trying to be to our customers is we will help you solve the integration challenge between this infrastructure you've been building for 30 years and this next-generation technology that lets you get the next leg of value out of your data. >> So Jim, when you think about the evolution of this whole big data space, the early narrative in the trade press was, well, NoSQL is going to replace Oracle and DB2, and the data lake is going to replace the EDW, and unstructured data is all that matters, and so forth. And now, you look at what's really happened is the EDW is a fundamental component of making decisions and insights, and SQL is the killer app for Hadoop. And I take an example of say fraud detection, and when you think and this is where you guys sit in the middle from the standpoint of data quality, data integration, in order to do what we've done in the past 10 years take fraud detection down from well, I look at my statement a month or two later and then call the credit card company, it's now gone to a text that's instantaneous. Still some false positives, and I'm sure working on that even. So maybe you could describe that use case or any other, your favorite use case, and what your role is there in terms of taking those different data sources, integrating them, improving the data quality. >> So, I think when you think about a use case where I'm trying to improve the SLA or the responsiveness of how do manage against or detect fraud, rather than trying to detect it on a daily basis, I'm trying to detect it at transaction time. The reality is you want to leverage the existing infrastructure you have. So if you have a data warehouse that has detailed information about transaction history, maybe that's a good source. If you have an application that's running on the mainframe that's doing those transaction realtime, the ultimate answer is how do I knit together the existing infrastructure I have and embed the additional intelligence and capability I need from these new capabilities, like, for example, using Kafka, to deliver a complete solution. What we do is we help customers kind of tie that together, Specifically, we announced this integration I mentioned earlier where we can take a changed data element in a DB2 database and publish it into Kafka. That is a key requirement in delivering this real-time fraud detection if I in fact am running transactions on a mainframe, which most of the banks are. >> Without ripping and replacing >> Why would you want to rip out an application >> You don't. >> your core customer file when you can just extend it. >> And you mentioned the Cloudera 6 certification. You guys have been early on there. Maybe talk a little about that relationship, the engineering work that has to get done for you to be able to get into the press release day one. >> We just mentioned that my first time on theCUBE was in 2013, and that was on the back of our initial product release in the big data world. When we brought the initial DMX-h release to market, we knew that we needed to have deep partnerships with Cloudera and the key platform providers. I went and saw Mike Olson, I introduced myself, he was gracious enough to give me an hour, and explain what we thought we could do to help them develop more value proposition around their platform, and it's been a terrific relationship. Our architecture and our engineering and product management relationship is such that it allows us to very rapidly certify and work on their new releases, usually within a couple a days. Not only can customers take advantage of that, which is pretty unique in the industry, but we get some some visibility from Cloudera as evidenced by Tendu's quote in the press release that was released this week, which is terrific. >> Talk about your business a little bit. You guys are like a 50-year old startup. You've had this really interesting history. I remember you from when I first started in the industry following you guys. You've restructured the company, you've done some spin outs, you've done some M and A, but it seems to be working. Talk about growth and progress that you're making. >> We're the leader in the Big Iron to Big Data market. We define that as allowing customers to optimize their traditional legacy investments for cost and performance, and then we help them maximize the value of the data that get generated in those environments by integrating it with next-generation analytic environments. To do that, we need a broad set of capability. There's a lot of different ways to optimize existing infrastructure. One is capacity management, so we made an acquisition about a year ago in the capacity management space. We're allowing customers to figure out how do I make sure I've got not too much and not too little capacity. That's an example of optimization. Another area of capability is data quality. If I'm maximize the value of the data that gets produced in these older environments, it would be great that when it lands in these next-generation repositories it's as high quality as possible. We acquired Trillium about a year ago, or actually coming up >> How's that comin'? >> on two years ago and we think that's a great capability for our customers It's going terrific. We took their core data quality engine, and now it runs natively on a distributed Hadoop infrastructure. We have customers leveraging it to deliver unprecedented volume of matching, so not only breakthrough performance, but this whole notion of write once, run anywhere. I can run it on an SMP environment. I can run it on Hadoop. I can run it Hadoop in the cloud. We've seen terrific growth in that business based on our continued innovation, particularly pointing it at the big data space. >> One of the things that I'm impressed with you guys is you guys have transformed, so having a transformation message to your customers is you have a lot of credibility, but what's interesting is is that the world with containers and Kubernetes now and multi-cloud, you're seeing that you don't have to kill the legacy to bring in the new stuff. You can see you can connect systems, when you guys have done with legacy systems, look at connect the data. You don't have to kill that to bring in the new. >> Right >> You can do cloud-native, you can do some really cool things. >> Right. I think there's-- >> This rip and replace concept is kind of going away. You put containers around it too. That helps. >> Right. It's expensive and it's risky, so why do that. I think that's the realization. The reality is that when people build these mission-critical systems, they stay in place for not five years, but 25 years. The question is how do you allow the customers to leverage what they have and the investment they've made, but take advantage of the next wave, and that's what we're singularly focused on, and I think we're doing a great job of that, not just for customers, but also for these next-generation partners, which has been a lot of fun for us. >> And we also heard people doing analytics they want to have their own multi-tenent, isolated environments, which goes to don't screw this system up, if it's doing a great job on a mission-critical thing, don't bundle it, just connect it to the network, and you're good. >> And on the cloud side, we're continuing to look at our portfolio and say what capabilities will customers want to consume in a cloud-delivery model. We've been doing that in the data quality space for quite awhile. We just launched and announced over the last about three months ago capacity management as a service. You'll continue to see, both on the optimization side and on the integration side, us continuing to deliver new ways for customers to consume the capabilities they need. >> That's a key thing for you guys, integration. That's pretty much how you guys put the stake in the ground and engineer your activities around integration. >> Yeah, we start with the premise that your going to need to continue to run this older investments that you made, and you're going to need to integrate the new stuff with that. >> What's next? What's goin' on the rest of the year with you guys? >> We'll continue to invest heavily in the realtime and changed-data capture space. We think that's really interesting. We're seeing a tremendous amount of demand there. We've made a series of acquisitions in the security space. We believe that the ability to secure data in the core systems and its journey to the next-generation systems is absolutely critical, so we'll continue to invest there. And then, I'd say governance, that's an area that we think is incredibly important as people start to really take advantage of these data lakes they're building, they have to establish real governance capabilities around those. We believe we have an important role to play there. And there's other adjacencies, but those are probably the big areas we're investing in right now. >> Just continuing to move the ball down the field in the Syncsort cadence of acquisitions, organic development. Congratulations. Josh, thanks for comin' on. To John Rogers, CEO of Syncsort, here inside theCUBE. I'm John Furrier with Dave Vellante. Stay with us for more big data coverage, AI coverage, cloud coverage here. Part of CUBE NYC, we're in New York City live. We'll be right back after this short break. Stay with us. (techno music)

>> Narrator: Live from Las Vegas, it's theCUBE, covering VMworld 2017. Brought to you by VMware and its ecosystem partners. >> Welcome back to VMworld. You are watching theCUBE here, live on day two, continuing coverage from the show this year. I'm Lisa Martin, my cohost is Stu Miniman, and we're very excited to welcome our next guest. First time on theCUBE is Scott Delandy. >> First time. >> Lisa: First time technology director at Dell EMC. Welcome to theCUBE. >> Thrilled to be here. >> We're thrilled to have you, and you have a couple of really interesting things that I want to kick off with. First off all, you played vodgeball. If you're not familiar, vodgeball is a really cool, starts on the Sunday right before VMworld, benefits Wounded Warriors, which is fantastic, but it's a serious game. I've played before, I was terrified for my life. What was your experience like this year? >> It's a great event and they've been doing it for the last several years, I mean, so it was my first time I was able to participate, but it basically is a lot of the partners and exhibitors here, they put a team together, and it's to support the Wounded Warrior Foundation, so it's a great charity and a great cause. But yeah, it was very intense, because when they asked me to play, I was like, "Dodgeball, vodgeball, how hard could it be, right? "You just pick up the ball "and you just throw it at somebody, right?" I had no idea that this is like a legit thing. There's referees, there's rules, there's strategy. I mean, it was intense. And, you know, we had fun. I think everybody had fun, but I will say there were, there were some teams that were very serious and very determined to do well. And they did. >> Nobody injured, I hope. >> Not that I recall. Oh, no, there was one injury, there was one injury. Somebody was going backwards and fell into somebody who was taking a picture and there was blood. Yeah, there was a little bit of blood. But hey, again, for a good cause, right? >> The people at VMworld, they're serious about whatever they're doing. >> Very serious. >> There you go. >> That's for sure. >> Something also that interests me about your background is you have a really interesting connection with an industry that people wouldn't think, oh, there's a similarity between wrestling, WWE, and Dell EMC. On the customer experience side, you've talked with John Cena, who I admire for what he does on TV. Tell us about the similarities that you and he discussed about the customer experience. >> Yeah, so it was last year. There's an event, it's actually a legit thing, called Customer Experience Day. And so, at Dell EMC, we had, you know, different events planned at the different locations, and there were speakers that came in. Matter of fact, if you were in the Santa Clara area, they had Matthew McConaughey, was the individual that they had come there. But we had John Cena, which I think we probably got a better deal out of that. But your point, it's like, what's the similarities, and I even asked him as we were getting ready to do the interview, I was chatting with him a bit, and I was like, "You probably have no idea what we do," and "Why are you here? "This is like completely different." And he was like, "Absolutely not, "I am so looking forward to this because "I'm going to talk to new people that "I've never talked to before. "What we do and what you do is very similar "because it really is about that customer experience "and making sure that people enjoy it, "you connect with those customers, "you connect with those users out there. "It's all about, you know, how the technology "on our side is getting consumed "and what our users are able to do, "but it's also the products that they're putting out there, "just from an entertainment perspective." And he got up there and he spoke for 20 minutes, and it was amazing. I mean, he just did such a great job. >> So, Scott, I actually worked with you at EMC, and you've been at EMC for just a few years. I still have to say, it's now Dell EMC, 'cause for some reason, LinkedIn says I worked for Dell EMC for 10 years. I worked for EMC Corporation. Those of us in Massachusetts, EMC had a profound impact on technology, but how long's it been now, you've been there? And tell us how you got to your current roles. >> With EMC and now Dell EMC, I just hit my 27th year, so going on 28 years now. Badge number 399, for anybody that's still keeping score. >> Lisa: You started as a child, right? >> I was 11 when I started. It was before they changed the child labor laws. But no, it's great. I mean, you think about how the company's changed and evolved in that period of time, and I think the thing that I've always loved and continued to love about the company and the organization is just how we continued to evolved, we continued to change, we continued to adapt to what's happening in the technology space because, you know, as you know, things are constantly moving, and I think that the difference over the last several years is that the rate of change has completely accelerated, with new ways to be able to deliver IT, new ways to basically consume the things that we've been developing for years. I come on the storage side of things, and just from a company perspective, the portfolio has expanded to include pretty much anything from a technology perspective. So it's really, really cool to be able to be a part of that. >> Okay, so, Scott, you know, there are many in the storage industry that have perspective, but I mean, you've been there since, like, I guess day one of Symmetrix. And Symmetrix, through DMX, through VMAX, it's still a product line, it's still going strong. You know, why is VMAX important in enterprise tech today? >> You know, you think about it, and it really is cool, and it's something that I work closely with throughout my career, but you think about examples of technology that have been available on the market for 30 or so years. I mean, I can only come up with two. If you can come up with one, let me know, but I think of mainframes, and I think of Symmetrix VMAX, right? And they're still a key part of technology because there's a tremendous amount of trust. The world's most mission-critical workloads run on those environments. It's a proven platform that still continues to be really, really, a core part of an IT infrastructure for many, many organizations. >> Yeah, it always resonated with me. You talk to anyone in that storage organization, and they've all ready Only the Paranoid Survive. So, you know, until microprocessor's going strong, you know, lots of discussion about where Moore's Law is going. But right, you know, I think back to the early days of things like SRDF, really changed what's going on. But now, I mean, you know, Flash is the discussion. We've just been talking to some of your peers about software-defined storage. What are some of those key customer conversations you're seeing these days out there in the market? >> I think, you know, from a modernization perspective, clearly Flash is becoming the predominant way people want to store their information, right? That's, you know, you think about Flash when it was initially introduced years and years ago, it provided a solution for high performance requirements. It was really, really fast, much faster than mechanical media at the time, but it was also really, really expensive, and I think what's changed is kind of two things. Number one, the media costs have come down pretty dramatically, right? But still more expensive than spinning drives. But the arrays themselves have also become much more efficient in terms of how they're able to take advantage of Flash. You think of things like data reduction technologies, compression, dedupe, fim provisioning, snapshots, all of these types of things, where we typically see about a four to one space efficiency. So if I've got 100 terabytes, I'm paying for that 100 terabytes of capacity, but through all of these technologies, I can make that look like 400 terabytes to the outside world. So that dramatically changes the cost curb and makes it way more efficient, way more affordable than what people have previously done with things like hybrid arrays or even spinning drives. So it's cool, and, you know, you think of what's happening in the future, there are different memory-based technologies, storage class memory technologies that are going to start to become available in the marketplace, and it'll be interesting to see architecturally how that's going to impact some of the things that are available in the marketplace today, so it's going to be very interesting, I think, in the next couple of years, as the technology continues to evolve, and you're able to do things from a performance density capacity perspective that, you know, today you're just kind of getting to sort of the tip of the iceberg in terms of some of the niche technologies that are out there. These are things that are going to become much, much more mainstream going forward. So, again, people often think that storage, snoreage, right? It's the boring stuff, right? The only time people care about storage is if something breaks, right? They just assume that it's going to work. But again, there's a lot of really cool things happening from an innovation, from a technology perspective, and again, being on the technology side and getting to work very closely with the engineering guys, and the product managers, and then being able to talk to customers and users and understand kind of what challenges they're facing today and where they see things going in the future. Again, it's a great opportunity because you get to see all of this stuff coming together. So, it continues to be fun. I don't know if I can do another 27 years, but I'm hoping to get at least a couple more good ones. >> You've got like another 30 before retirement age. >> Right, right. >> Yeah, I think you're right. I'll do the math on that. Maybe not quite 30, but I appreciate it anyway, Stu. >> So, speaking of innovation, Michael Dove was talking about that this morning, and I thought it was cool that he and Pat shared some laughs on, you know, now that the accommodation is done with Dell EMC and they own VMware, there's competitors that are now partners, et cetera. Can you talk to us, you talked about kind of talking with product groups. How are you facilitating innovation and integration, say, with the VMAX with VMware? How is that kind of going? >> So, VMware is definitely a big, obviously, partner for us. But they also, their customers, in the use cases that they have, fit in very well with our technology and our systems, specifically, I'll talk specifically around VMAX. You know, you look at some of the really large environments that are out there. I know customers that have 50,000 plus VMs running on a single storage system, right? And, you know, you think of just how massive that is, and you put 50,000 anything on one storage system, you know, you need to make sure that you've got the performance, you've got the scale, you've got the reliability, you've got the data services. Those are the things that people need to be able to do consolidation at that scale, and that's where certainly VMAX is kind of the technology that continues to be core for those types of workloads. But again, there's always new things that are coming up, and there's also, you know, a set of new challenges that users are always looking at. And again, Flash is a good example where, you know, you're starting to hit the limits in terms of what you can do with traditional mechanical media, but the Flash was still too expensive at the time. But again, taking advantage of that data reduction technology and building it into the system, and being able to do it in a way that doesn't compromise any of the data services, it doesn't impact performance, it doesn't change the reliability, or the availability of the applications and the workloads. I mean, that's what kind of users sort of expect from us, and that's what we deliver. >> I think you've still got 30 years in you just, you know, with this passion and excitement that you're talking about now. >> We'll see, we'll see. Well, maybe you guy will have me back next year and we can see where we are then. >> Well, we are so thankful to you for stopping by theCUBE for your first time. You're now part of theCUBE alumni. >> Awesome, I am so thrilled. >> I don't think we have John Cena on. We do have a few professional athletes. I've interviewed a couple of former Patriots, and the like. >> As I told John when I interviewed him, he may be bigger than me, but I have better hair, I think at least. >> By far, by far. Well, Scott Delandy, thank you so much for stopping by theCUBE and sharing some of the innovations that you're doing, and we'll look forward to seeing you on theCUBE next time. >> Scott: Awesome, thank you. >> All right, and for Scott, my co-host Stu Miniman, I'm Lisa Martin, you're watching day two, live from VMworld 2017 from Las Vegas. Stick around, we will be right back.

>> Man's Voiceover: Live, from San Jose, in the heart of Silicon Valley, it's theCUBE, covering DataWorks Summit 2017, brought to you by Hortonworks. (upbeat music) >> Welcome back to theCUBE, we are live at Day One of the DataWorks Summit, we've had a great day here, I'm surprised that we still have our voices left. I'm Lisa Martin, with my co-host George Gilbert. We have been talking with great innovators today across this great community, folks from Hortonworks, of course, IBM, partners, now I'd like to welcome back to theCube, who was here this morning in the green shoes, the CTO of Hortonworks, Scott Gnau, welcome back Scott! >> Great to be here yet again. >> Yet again! And we have another CTO, we've got CTO corner over here, with CUBE Alumni and the CTO of SyncSort, Tendu Yogurtcu Welcome back to theCUBE both of you >> Pleasure to be here, thank you. >> So, guys, what's new with the partnership? I know that syncsort, you have 87%, or 87 of the Fortune 100 companies are customers. Scott, 60 of the Fortune 100 companies are customers of Hortonworks. Talk to us about the partnership that you have with syncsort, what's new, what's going on there? >> You know there's always something new in our partnership. We launched our partnership, what a year and a half ago or so? >> Yes. And it was really built on the foundation of helping our customers get time to value very quickly, right and leveraging our mutual strengths. And we've been back on theCUBE a couple of times and we continue to have new things to talk about whether it be new customer successes or new feature functionalities or new integration of our technology. And so it's not just something that's static and sitting still, but it's a partnership that was had a great foundation in value and continues to grow. And, ya know, with some of the latest moves that I'm sure Tendu will bring us up to speed on that Syncsort has made, customers who have jumped on the bandwagon with us together are able to get much more benefit than originally they even intended. >> Let me talk about some of the things actually happening with Syncsort and with the partnership. Thank you Scott. And Trillium acquisition has been transformative for us really. We have achieved quite a lot within the last six months. Delivering joint solutions between our data integration, DMX-h, and Trillium data quality and profiling portfolio and that was kind of our first step very much focused on the data governance. We are going to have data quality for Data Lake product available later this year and this week actually we will be announcing our partnership with Collibra data governance platform basically making business rules and technical meta data available through the Collibra dashboards for data scientists. And in terms of our joint solution and joint offering for data warehouse optimization and the bundle that we launched early February of this year that's in production, a large complex production deployment's already happened. Our customers access all their data all enterprise data including legacy data, warehouse, new data sources as well as legacy main frame in the data lake so we will be announcing again in a week or so change in the capture capabilities from legacy data storage into Hadoop keeping that data fresh and giving more choices to our customers in terms of populating the data lake as well as use cases like archiving data into cloud. >> Tendu, let me try and unpack what was a very dense, in a good way, lot of content. Sticking my foot in my mouth every 30 seconds (laughter) >> Scott Voiceover: I think he called you dense. (laughter) >> So help us visualize a scenario where you have maybe DMX-h bringing data in you might have changed it at capture coming from a live data base >> Tendu Voiceover: Yes. and you've got the data quality at work as well. Help us picture how much faster and higher fidelity the data flow might be relative to >> Sure, absolutely. So, our bundle and our joint solution with Hortonworks really focuses on business use cases. And one of those use cases is enterprise data warehouse optimization where we make all data, all enterprise data accessible in the data lake. Now, if you are an insurance company managing claims or you are building a data as a service, Hadoop is a service architecture, there are multiple ways that you can keep that data fresh in the data lake. And you can have changed it at capture by basically taking snap-shots of the data and comparing in the data lake which is a viable method of doing it. But, as the data volumes are growing and the real time analytics requirements of the business are growing we recognize our customers are also looking for alternative ways that they can actually capture the change in real time when the change is just like less than 10% of the data, original data set and keep the data fresh in the data lake. So that enables faster analytics, real time analytics, as well as in the case that if you are doing something from on-premise to the cloud or archiving data, it also saves on the resources like the network bandwidth and overall resource efficiency. Now, while we are doing this, obviously we are accessing the data and the data goes through our processing engines. What Trillium brings to the table is the unmatched capabilities that are on profiling that data, getting better understanding of that data. So we will be focused on delivering products around that because as we understand data we can also help our customers to create the business rules, to cleanse that data, and preserve the fidelity of the data and integrity of the data. >> So, with the change data capture it sounds like near real time, you're capturing changes in near real time, could that serve as a streaming solution that then is also populating the history as well? >> Absolutely. We can go through streaming or message cues. We also offer more efficient proprietary ways of streaming the data to the Hadoop. >> So the, I assume the message cues refers to, probably Kafka and then your own optimized solution for sort of maximum performance, lowest latency. >> Yes, we can do either true Kafka cues which is very efficient as well. We can also go through proprietary methods. >> So, Scott, help us understand then now the governance capabilities that, um I'm having a senior moment (laughter) I'm getting too many of these! (laughter) Help us understand the governance capabilities that Syncsort's adding to the, sort of mix with the data warehouse optimization package and how it relates to what you're doing. >> Yeah, right. So what we talked about even again this morning, right the whole notion of the value of open squared, right open source and open ecosystem. And I think this is clearly an open ecosystem kind of play. So we've done a lot of work since we initially launched the partnership and through the different product releases where our engineering teams and the Syncsort teams have done some very good low-level integration of our mutual technologies so that the Syncsort tool can exploit those horizontal core services like Yarn for multi tendency and workload management and of course Atlas for data governance. So as then the Syncsort team adds feature functionality on the outside of that tool that simply accrete's to the benefit of what we've built together. And so that's why I say customers who started down this journey with us together are now going to get the benefit of additional options from that ecosystem that they can plug in additional feature functionality. And at the same time we're really thrilled because, and we've talked about this on many times right, the whole notion of governance and meta data management in the big data space is a big deal. And so the fact that we're able to come to the table with an open source solution to create common meta data tagging that then gets utilized by multiple different applications I think creates extreme value for the industry and frankly for our customers because now, regardless of the application they choose, or the applications that they choose, they can at least have that common trusted infrastructure where all of that information is tagged and it stays with the data through the data's life cycle. >> So you're partnership sounds very very symbiotic, that there's changes made on one side that reflect the other. Give us an example of where is your common customer, and this might not be, well, they're all over the place, who has got an enterprise data warehouse, are you finding more customers that are looking to modernize this? That have multi-cloud, core edge, IOT devices that's a pretty distributed environment versus customers that might be still more on prem? What's kind of the mix there? >> Can I start and then I will let you build on. I want to add something to what Scott said earlier. Atlas is a very important integration point for us and in terms of the partnership that you mentioned the relation, I think one of the strengths of our partnership is at many different levels it's not just executive level, it's cross functional and also from very close field teams, marketing teams and engineering field teams working together And in terms of our customers, it's really organizations are trying to move toward modern data architecture. And as they are trying to build the modern data architecture there are the data in motion piece I will let Scott talk about, data in rest piece and as we have so much data coming from cloud, originating through mobile and web in the enterprise, especially the Fortune 500, that we talk, Fortune 100 we talked about, insurance, health care, Talco financial services and banking has a lot of legacy data stores. So our, really joint solution and the couple of first use cases, business use cases we targeted were around that. How do we enable these data stores and data in the modern data architecture? I will let Scott >> Yeah, I agree And so certainly we have a lot of customers already who are joint customers and so they can get the value of the partnership kind of cuz they've already made the right decision, right. I also think, though, there's a lot of green field opportunity for us because there are hundreds if not thousands of customers out there who have legacy data systems where their data is kind of locked away. And by the way, it's not to say the systems aren't functioning and doing a good job, they are. They're running business facing applications and all of that's really great, but that is a source of raw material that belongs also in the data lake, right, and can be, can certainly enhance the value of all the other data that's being built there. And so the value, frankly, of our partnership is really creating that easy bridge to kind of unlock that data from those legacy systems and get it in the data lake and then from there, the sky's the limit, right. Is it reference data that can then be used for consistency of response when you're joining it to social data and web data? Frankly, is it an online archive, and optimization of the overall data fabric and off loading some of the historical data that may not even be used in legacy systems and having a place to put it where it actually can be accessed. And so, there are a lot of great use cases. You're right, it's a very symbiotic relationship. I think there's only upside because we really do complement each other and there is a distinct value proposition not just for our existing customers but frankly for a large set of customers out there that have, kind of, the data locked away. >> So, how would you see do you see the data warehouse optimization sort of solution set continuing to expand its functional footprint? What are some things to keep pushing out the edge conditions, the realm of possibilities? >> Some of the areas that we are jointly focused on is we are liberating that data from the enterprise data warehouse or legacy architectures. Through the syncs or DMX-h we actually understand the path that data travel from, the meta data is something that we can now integrate into Atlas and publish into Atlas and have Atlas as the open data governance solution. So that's an area that definitely we see an opportunity to grow and also strengthen that joint solution. >> Sure, I mean extended provenance is kind of what you're describing and that's a big deal when you think about some of these legacy systems where frankly 90% of the costs of implementing them originally was actually building out those business rules and that meta data. And so being able to preserve that and bring it over into a common or an open platform is a really big deal. I'd say inside of the platform of course as we continue to create new performance advantages in, ya know, the latest releases of Hive as an example where we can get low latency query response times there's a whole new class of work loads that now is appropriate to move into this platform and you'll see us continue to move along those lines as we advance the technology from the open community. >> Well, congratulations on continuing this great, symbiotic as we said, partnership. It sounds like it's incredible strong on the technology side, on the strategic side, on the GTM side. I'd loved how you said liberating data so that companies can really unlock its transformational value. We want to thank both of you for Scott coming back on theCUBE >> Thank you. twice in one day. >> Twice in one day. Tendu, thank you as well >> Thank you. for coming back to theCUBE. >> Always a pleasure. For both of our CTO's that have joined us from Hortonworks and Syncsort and my co-host George Gilbert, I am Lisa Martin, you've been watching theCUBE live from day one of the DataWorks summit. Stick around, we've got great guests coming up (upbeat music)

>> Narrator: Live from Las Vegas, it's the Cube, covering Dell EMC world 2017 Brought to you by Dell EMC. >> Welcome back to Dell E, Dell EMC world, I'm your host Rebecca Knight along with my co-host Keith Townsend. We are joined by Fernando Thompson. He is the CIO of University of the Americas, Puebla, Mexico. Thanks so much for joining us, Fernando. >> Thanks Rebecca, to you. >> So I want you to just set the scene a little bit for our viewers and talk a little bit about some of the biggest technology problems you were facing on your campus. >> Well, Universidad de las Américas Puebla is in the state of Puebla. We have around, less than 10,000 students. We have 1,000 employees. And we are full dedicated to research and development. And also bachelor's degrees. I used to work for the federal government and also for the private sector in television and entertainment. But I have never been in such a huge challenge, like, in a university because, you know, it is, it is so difficult to implement the governance but at the same time the freedom and, if you think, well for instance, when, when is a period of time where, where more appears in the world, it's on vacations where the students of the universities have enough time to build that kind of thing. Not very creative people, so in, in the sense that, well we live in an environment where you have to deal, to deliver technology, to protect to millennials that doesn't want to be protected and also, you know, they always ask for more services, no? And now is coming the generation C, so, it's going to be real tough for the next years. >> So, so, so set the scene and talk to us about the kinds of things that you are trying to deliver. Better products, better speed, better services to both students, perspective students, faculty and staff. Talk about what some of the needs were. >> Well, we have to think that, actually, technology is very important in the university because we have to prepare our students to give them the tools to face the future. The world is changing. And, in Mexico right now, we have a huge challenge because we're competing against China, Brazil, and India. We used to have an advantage with, with the price, and people that is very well prepared and with their salaries, but not any longer. So, we have to give this advantage to our students. So, nine years ago, when I arrived to university, for instance, we have the subscription system, and it was awful, no? Because it was very slow with the performance and not very reliable, so the people was really complaining, no? Because we're a private, private university. You always suspect, you know, good performance for a private university. And especially in subscription where your main customer, that is a student. So, we start to work to fix the main system and it take us years, years, no? So, we passed through availability and relability but bad performance. Now, performance, but since we implement XtremIO and we changed our data center with Dell products, this very year, in, in, in the spring, in the spring semester, we make a huge change cause the subscription system now became, you know, one of the biggest transformation tools in the service for the students. What happened was that, during the subscription, we announced on a special day, and a special hour, 8:30, and if you are okay with your administrative stuff and qualifications, you can get into the system and subscribe. Four years ago, that takes, like, one hour or 45 minutes. But with the change that we made, now it is a matter of two minutes. So-- >> Wow. It was a change of 100 degrees, no? What happened was that, yes, we changed the application, but also, you know, with this Flash technology, we use it because at the end, what we want to make was, you know, to impact to the student, in order that they can receive the schedule. He can take faster decisions. They move very fast with their computers and with their devices, so they needed the applications, so, we build it, we test it, and it worked fantastic. And let me tell you something, no? How I measure, I don't have a business analytic tool or a business intelligence tool. What I have was, you know, access to Facebook, Instagram, and Snapchat. And, man, they gave us such a compliment, no? Like, hey TI finally did something well for us also and it was thousands of comments, no? >> Members was waiting. >> A lot of thumbs up. >> Yeah, yeah. Members was waiting, you know, to attack us, like, you shall not pass, and stuff like that. Like past years. But not this year. So, it was, it was, it was a successful story and now we are thinking to implement all these changes that we made in an ordered space itself, of the university. >> So let's talk about that a little bit. So that's, I think, is a great example of digital transformation. I don't need to ask you if you believe in digital transformation. That was a digital transformation to your business. Specifically, I'm interested in research. What type of research does the university do and how does your group play a role in enabling that? >> Yeah, basically, for instance, we have four programs of PSD with specialization in technology and also in environment, no? One of the top challenge that we are facing in Latin America. So we have to supply the technology that our researchers need. And it has to be at the same level of the United States. We belong to the Southern Association of Colleges and Schools in the United States. So, it's not United States soil, but we belong to that association. >> Reporter: So you have the same SLEs? >> Yeah, basically, basically, you know? And we have to supply, you know, all the bandwidth and performance because they're discussing, at the same time, with people in Texas or Wisconsin or Alaska or Brazil and they need, you know, for instance, high-performance computing, storage, cloud tools, and for them, have to be, you know, pretty clear and transparent. What I mean is that they don't care, and they don't have to care about where it's working, of it is expensive or not, no? Do you have, do you have to supply what they need? Let me give you an example. For instance, a fractal. If you send the information of a fractal, we don't have a super-computer in our university, but we have a deal with another university and they have this super-computer. So, what we do is to supply the connection of the computer to send information and to receive information immediately, in order than the graphic can have information in real time. And people are taking decision in different parts of the, of the country with that information that we're sending. Sometimes, could be, you know, if we're facing a hurricane or we're going to have a problem with water or if we want to avoid, you know, you know, something that can happen with an earthquake or something like that. And with that kind of information, now, our researchers certainly can know what is happening. So, we give the info, we give the technology for them. We make a mixture between cloud-computing services and also our data center. Then that a wonderful tool because with XtremIO and with our new servers, if you can go to our new data center, you will realize that it's only Dell and EMC right there, no? And something funny is that we have a wonderful data center, but to be honest with you, we only use, right now, only three racks. So, the space that we are using right now with this new disk is, the space that we are saving is amazing, no? Because if you can, if you can see our racks, you will see that we have, for instance, Clarion, and DMX and another technology. Right now, we shut down all those racks. And right now, we are using just like, 40 inches of disk. And, man, you know, I have more performance, I have savings on air, savings on electricity. The people think then, right, we are having, you know, more space with more racks and more this. But not any longer. So, I think what is going to happen with Dell and EMC in the future, I think that they are going to deliver, for instance, 100 terabytes in just in a USB or something like that, it's the future. So, there's not going to be need over that, that's good, no? >> Hit it on the head of a, on the head of a pin. >> Yeah. >> Fernando, thank you so much for joining us. >> No, thank you to you. Thank you Rebecca, thank you. >> I'm Rebecca Knight for Keith Townsen. We will have more from Dell EMC world after this. (progressive music)