>> Live from Atlanta, Georgia, it's The Cube, covering Citrix Synergy Atlanta 2019. Brought to you by Citrix. >> Welcome back to The Cube. Lisa Martin with Keith Townsend, continuing The Cube's two day coverage of Citrix Synergy 2019. We are very excited to be speaking with one of the Citrix innovation award nominees, ZF Group. We've got Walter Scherer, senior manager of IT workplace foundation. Hi Walter. >> Hello, nice to be here. >> And Greg Lehofer, manager of client virtualization. Greg, great to have you on The Cube. >> Thank you very much. >> So, first congratulations to ZF Group for the Innovation Award nomination. We hear there were over one thousand nominees. Pretty exciting to get to the top three, one of the top three finalists. So Walter let's start with you, tell our audience who ZF is and what you're doing with Citrix. >> So ZF is a global system provider, we enable next generation of mobility. So for us it's very important to invest in technology fields like integrated safety, electricity, like automated driving, that's very important for us so we see the future, the world will change so we see it every day and therefore it's very very important for us that we push innovation, that we push internet of things, and we push the digitalization. That's a must for us. >> So you guys are supplying a company that supplies systems for IC, your passenger cars, commercial vehicles and industrial technology. >> Yeah. >> Across Germany or is this to cross Europe? >> That's globally so we have around 40 confidants where we have locations. Where we have well organized globally and therefore it's very important for us to bring the right product for the future, for our customer. >> Wow so Greg tell us about the landscape, that's 40 countries, tell us how big is the infrastructure to support all of them? >> It's very big, so the transformation of IT is very important for us as Walter mentioned before, so yeah we start to build up a bigger infrastructure now, a virtual infrastructure because in the past we have a lot of water in place and so it's all from from ZF and now we are able that the external service providers and we have a lot of external service provider in place around the globe so that they can bring their own devices now in ZF and can use virtual desktops and so yeah for us the effort is not too big because the infrastructure is more central at the moment and so yeah, we are searching for new ways how we can make that more efficient for us and more easier and manage them and yeah we are looking at cloud infrastructures at the moment and yeah we are working very close together with Citrix and that technology and yeah, for us we are very proud that we are now nominated for the prize and yeah. >> So again about scale, how many partners worldwide do you have? So number of devices connecting to your infrastructure, how big is your customer base? >> So we have a lot of customers there so for our project because of course you mentioned, so we have off-road vehicles, we have product concerning the automotive areas, we have commercial areas so that's a lot of individual customers that we all have there. So and therefore we have to bring the right outcome so with Microsoft or with Citrix technologies and of course with the partnership with Microsoft that's very important too for us and so we have to bring the right infrastructure in place, especially in the user centric experience approach that's very important too for us and therefore we have the good partnership with Citrix so and with Citrix we have a really big and powerful systems in place, product to portfolio, so that will help us in this journey. >> Let's talk about that journey Greg, when you started working with Citrix to virtualize the environment, talk to us about how you went about that from a mobility perspective and what is that enabling your business to achieve for your customers? >> For our customers you have global graphic we have customers all over the world, they are always on airports and traveling around the world and so it's very important for us that we are transformate the IT in that way that the customer is able to work all over the world, anytime anywhere with any device. It's very important for the customers and for a new generation X to work with every device and yeah there is big transformation at the moment in place so yeah we with Citrix it's make it easier for us that we can provide all customers with every device a workplace or an application, that application the customers need or our employees need to work to collaborate all over the world with other engineers and so on on collaborate topics and on tasks and on projects and yeah with that technology, with private cloud and now with public clouds they are able to work with all kinds of devices everywhere in a secure way, and that is important for us because security is one of the important factors for us because when you are traveling all around the world and connecting from every place, security in our perspective yeah, it's very important and so with that technology-- >> And if you are looking for the flexible platforms that's very important, the solutions that Citrix have embized with The Cloud system so that brings us in the situation that we could manage all the platforms that we have in place locally today and if you connected to The Cloud. So therefore we have a common plan so to administrate and manage all the Citrix environments. >> So I imagine there's a large range of applications that you're deploying, you guys seem to provide a lot of services, what type of application data and tasks are happening remotely with your users? Like what's a typical transaction that a user will conduct while they're sitting at a airport? >> So that's what Gregor said so that's very important with the device strategy to treat the promote it with any device anywhere and to each time so and therefore we could provide a virtual desktop so that's independent from the device so we have maybe for collaboration that's a very similar topic, so we have solutions for our third parties, for the contractors and so it could give them a small solution, the Citrix mobile desktop, the mobile app so they have the possibility to connect to ZF and the infrastructure and so we are very flexible about that. So the only what they need, they need a device, they need a browser that's it. So that's the solution from Citrix. >> In terms of the operational efficiencies that you have presumably gained from working with Citrix, sounds like your users as well as your end-user customers are benefiting from the virtualized infrastructure that you've put in place, but talk to us about from an operational perspective, how much more efficient is your organization now? >> From our perspective, it's more efficient because as I mentioned before in the past they we have to give all our external service providers as an example hardware from ZF, and so it's a very big benefit, a lot of doings for our IT to prepare the desktop to make them secure the hardware and so on and now we are not longer responsible for that order because the external bring their own hardware and we only provide them a VDI on a secure way, a NetScaler gateway in that case and though they can connect and we only take care about our workplace and they take care of their hardware and so yeah for us it's much better because our effort is not so big and that is very good and yeah, and so as an example the workplace from Citrix, the new, it's very, very good for our customers because the users intrecities is very high because a lot of tools or applications they need has put the time SAP and read the emails, have a look at the chat, have a look at teams and so on, it's all in one platform and saves a lot of time. And time, everybody knows is very important for us and yeah when we can save time it's very perfect for us. >> Let's dive into that time savings, how long does it take you to onboard a new partner now versus before you had Citrix? >> Now-- >> For the deposit there was a lot of processes and they need I would say days, so in the meantime we have to push a party so internal SATA should automatically create an image, a VDI for example for the the customer, that's it. So and of course in the background we have to set the right direction, the right access, what systems they have in use, (mumbles) and that's it. >> So it sounds like it takes the business processes longer to onboard a customer like, so you have to sign a deal, get involved with a partner and IT it sounds like it's moving way faster than the actual business itself. >> Yeah as I mentioned it's a very fast process in the mean time so you have a portal you could go there so that to request what they need and then there's automatic behind that and so we could create automatically this request for him. >> So it used to take days to onboard a partner, now with Citrix workspace, it's hours, minutes to onboard a partner, how much time can you quantify that time savings? >> I would say if you consider the whole process, it needs some hours so because it's not only the Citrix onboarding, the Citrix onboarding goes very fast. So then the you have to create the operating system and so on, the imaging, so to bring the applications to the client, what they need I would say that needs hours. >> Or days to hours, so big time savings and also what you were talking about Greg I couldn't help but think that now that you don't have to provide all of this hardware to your partners, there's probably a massive cost savings as well that ZF has achieved, can you talk about that? >> Absolutely, from the cost perspective we save a lot of money and the other benefit is that the external can bring the hardware we'll work with. So normally we have one device and the external have to work with that and now he can bring his-- >> Whatever they choose. >> Right right, yeah right. Any device and that is very benefit for them because they can work with smart phones, they can work with tablet or they can work with a notebook as they like and from our perspective, yeah as you mention before you save a lot of money because it's yeah we only have to provide the virtual desktop and yeah we can provide them in a very quick way and we have workflows for that and yeah it's great for us. >> What feedback have they given you now that the process is so much faster for them but also they're able to use whatever device they're already familiar with, I imagine from a customer satisfaction perspective this new experience that you're enabling has really probably driven up your customer loyalty. The customers happier, more satisfied? >> The customers more happier of course so and the important topic for us is the customer is happy, they have a fast solution, it is mobile so and we have the access under control, that's very interesting for us. >> Well making your customers happy is always a top priority and we hear that you're doing that very well, we want to congratulate ZF on your nomination. >> Thank you very much. >> For the Innovation Award, we know that the voting goes through till tomorrow when the winner will be announced, we wish you the best of luck and thank you both for joining Keith and me on The Cube this afternoon. >> Thank you very much. >> Thank you, for Keith Townsend, I'm Lisa Martin. You're watching The Cube, live from Citrix Synergy 2019, thanks for watching. (upbeat music)

>> Live, from Atlanta, Georgia, it's theCUBE. Covering Citrix Synergy Atlanta 2019. Brought to you by Citrix. >> Hi, welcome back to theCUBE, Lisa Martin with Keith Townsend coming to you from our second day of coverage, Citrix Synergy 2019 in Atlanta. We are very pleased to welcome to theCUBE, the SVP of EMEA for Citrix, Sherif Seddik. Nice to have you on theCUBE. >> Fantastic, thank you very much for having me here. It's great. >> Our pleasure, so we have spoken the last, almost two full days here, on set, with a whole bunch of your executives, customers, analysts. The excitement over, not just the Citrix Workspace intelligent experience, but the announcements of deepening partnerships with Microsoft and Google are so exciting. >> Absolutely, I mean, we are very thrilled with kind of the, I was actually talking to David Henshall, our CEO, earlier today, and I was going, "We just announced so much stuff. I'm not sure everybody grasps everything that we announced." So it's exciting times for us, as you said, from an innovation point of view, from a speed to market point of view, and definitely partnerships. >> Yeah, I would love to hear, I mean. The deepening partnership with Microsoft, the Google announcements, the intelligent experience, and I. Zero-in on this announcement with Microsoft. This is like something that has been pent up demand. The ability to run desktop as a service, Citrix in a cloud, specifically Microsoft's, because there's a lot of overlap in partnership. What have customers been more excited about? Getting this pent up demand and answering for this partnership with Microsoft? Or are they surprised, in that intelligent experience, both very exciting announcements. >> Well I think what we're getting most excitement about is really the intelligent workspace because every customer that I talk to these days has an employee experience project going on. They all call it different things, but it's really focused about that. How can we get our employees to get what they need done as fast as possible? I was talking to customers who are actually starting to measure to the nanosecond, how long does it take an employee to launch app A or app B et cetera? So that's really the thing that customers are more excited about. The fact that they can give their employees such a beautiful, consumer-like experience, that guides them through their work, is really, customers are seeing it as a game changers for what they can do for their employees. >> And that's an enabler, well it's essential, for to have a great employee experience, directly affects your customer experience. >> Absolutely, and actually, what I tell many of our customers is you should look at the employees as your customers because if your employees are happy, they're going to make your customers happy. And the statistics, and the studies recently have been quite staggering about employee experience. You see the Gallup result from a couple of years ago that said, companies with engaged employees have 20% higher sales, 21% higher profitability, but the reverse of that was that only 20% of the employees were really engaged. Nearly 20% were actively disengaged. So the companies that can really flip that dynamic, can achieve growth and business results, and as you said, greater, greater customer experience. >> I'm also really interested in this unique balance, when it comes to customer experience and employee experience. You're in EMEA, so, there's a great, I think, distrust between big companies, especially big American companies, and data. In order to deliver the experience, you need data. What have been the conversations with your customers as you help to ensure them that Citrix definitely respects their data, GDPR and all of that, but the exchange of data for value is definitely there. >> Yeah, I mean, I think one of the key things is every customer conversation now has a deep analysis of data and the data flows and where do they go. And we've taken great steps. So, we've, one of the first investments that we made in the cloud was creating a control plane in Europe, in that space, in Amsterdam. So that we make sure the data is available in Europe, within the EU, et cetera. But on top of that, we also don't keep a lot of data, in our cloud environments. We just focus on, what do we need to make sure that it's the right employee, the right user, and that they only get access to the things that they get access to. But it's every customer conversation. They want to understand, "Tell us exactly, which pieces of data do they keep? And where do you keep them? And how long do you keep them for?" and all that. So, we've invested a lot of resources into making sure that we comply with all of the different European rules. And as you said, there's GDPR now, that's an umbrella, but in Europe, some countries have some. >> They go deeper? >> Yeah, they go deeper than that. And we make sure that we work with our customers, to make sure that we give them every level of comfort around privacy and data privacy. >> So you talked about the customers being very excited about the intelligent experience. The news that the capabilities that it's really going to bring the actions to the user. So really what we've heard and felt in the last 24 hours is, Citrix really pivoting towards the general user. But I'd love to get your perspective on EMEA customers influence on the development of the intelligent experience. How vocal have they been? How, especially because, if you just even look at compliance and standards alone, there's so many. Talk to us about that feedback loop that your customers in EMEA have had. >> It's been fascinating. A couple of years ago, I was visiting one of the largest French banks, and a big of that conversation, they were actually talking to me about, "How are you thinking about virtual assistance in the workplace?" And kind of, "How are you going to bring that in?" And, "Where does that fit with your whole focus on giving customers choice? Are you giving us choice on that? How will you integrate that?" So, customers, as I said, are very, very focused on how to take advantage of that. And the big difference in EMEA I guess, is always that balance between, okay, how do we make sure that we're continuing to enhance the experience that we provide our users with the capabilities? And at the same time, making sure that we are compliant. However, the other interesting thing is the speed at which some of the customers themselves changed. Again, I met a particular customer two years ago, and they were like, "We are in an unregulated industry. We are never going to do BYOD. We are never going to allow our users to work from home." And I met the same person, you know, 12 months later, and it was "BYOD is our new standard. We've even allowed our traders to do some work from home." So that shift in perceptions and actions that our European customers are taking, has been phenomenal over the last 18 months. >> That's a pretty fast turnaround, from no BYOD, everybody needs to be on site, to we have got to deliver an experience our employees need. What do you think were some of the catalysts for a shift of that magnitude in the course of 12 months? >> I think the biggest thing is probably the war for talent, if you like, among organizations. And everybody's thinking, you know, whatever data you look at again, there are employee shortages, there are skill shortages. So, with Generation Y and Generation Z coming into workplace, they are very demanding. It's interesting how many customers are saying now that, one of the questions that employees or potential employees ask when they are coming in is "What are the tools that you're going to give me? Can I choose whatever device I want?" et cetera. So that's the first thing. The second thing has been, things like, pragmatic things, like costs of real estate, and kind of how do we optimize that, and that drives certain things. And if you can get them comfortable around the security and the privacy aspects, then they start focusing on these other business benefits that they can get. But I would say, talent attraction is number one. >> So let's talk about kind of your role, your sales role. As you have AEs, Account Executives, and SEs, Sales Engineers, out in the field, having these conversations. This is very volatile, like, you know, I visit this account three months ago, six months ago, and they said no the the intelligent, they were at Citrix, they said no to the intelligent workspace. They were no to BYOD. How do you prepare your staff to be, for the volatility in conversations? >> I think one of the first things, other than the staff, is I think we have a very unique position around that, enabling the customer choice. So because we are definitely very very much on that, it's going to be hybrid cloud. Customers need get the choice of deploying the technology in the cloud or on premises. Regardless of the customer position, we always have a solution that we can offer. And as long as we are very clear on, okay, if you go this option, these are some of the capabilities you're going to miss about. So that enables a continuous conversation with the customer. However the other thing that we are driving with our teams, is really focus on the business outcomes that the customer is driving for. And as you focus on that, then you can get customers to change their view. But just make sure, the other thing is, we want all of our employees to really understand deeply, the security and privacy concerns that the customers have and be able to respond to these. Because once we, in here actually, yesterday, we had a meeting with one of the large European telcos. And the meeting started with, "Okay, we're not going to do cloud." And once we explained to them, okay, let's walk you through our data flow. Let's walk you through what we keep. And then "Ah, we didn't realize it was like this. Then maybe." They didn't say, yes, we're going to move forward, straight away, but it opened a conversation, and that's the key of what we need our teams and sellers, is focus on the customer. Focus on the business side of things. >> And within those customer conversations, employee experience, we're hearing more and more, is being elevated to a C-suite imperative. Are you starting to see more meetings with CIOs, Chief People Offices, Chief Marketing Officers? Is that opening up opportunities for your sales guys and gals to really educate the executive management team at a company, rather than traditionally, IT? >> Yeah, I think absolutely. It's interesting because, particularly when we start to talk about the intelligent workspace and saying, you know, general purpose and being able to. Many of our CIOs can say "That's great, but this is not a decision that I can take on my own," if that's what we're talking about. "So let's, we have to bring our HR teams into play, we have to bring our business owners into play." And there is now becoming this "Let's go together." So they are now becoming, opening the doors for us to go and talk to the business leaders because that is what is required to make a decision that impacts every employee, not just a small fraction. >> Wow, so that's a huge cultural shift, internally, to your sales team. You know, I'm used to engaging Citrix's sales team and talking about, well this VDI capability is available in this product. This isn't available in this product. Checklist, checklist, checklist. The conversation of shifting to having a business outcome conversation is very different. You know, one day, your team may go in and talk to HR, another day they may go in and talk to marketing. It is a skillset beyond any single team. How are you guys adjusting to that business outcome conversation? And preparing your team, and giving them the tools from an employee experience, to go out and have this multitude of conversations. >> We're doing a number of things. We're doing a lot of training and enablement. So one of the things that we do, (cough) is we're doing training around talking to business people. And what we do is we actually bring business owners from the customer to educate our teams. Sorry, my voice is going. >> No problem. >> What is important for them? What's the priorities? What are the languages that they use? But the other thing that we're actually doing, is we're encouraging our teams to talk to their colleagues, because we have HR professionals in our organization. We have finance professionals in our organization. We have marketing professionals. Go talk to them, and bring them to your customers with you because they will really be talking the business language. So these are a couple of the key initiatives that we are doing, to enable our teams to have these conversations. >> That's brilliant. We had a conversation yesterday with your Chief People Officer, Donna Kimmel, kind of just about that, in terms of looking at the employee experience not just as the applications I'm interacting with to do my job, but starting up the chain to even recruiting. And needing to have the right, I can't even think of it, the right, a job description that's attractive. But like you were saying, and I've been doing this with some of my clients, what kind of tools am I going to have? Can I bring my own tools? So the employee experience kind of starts up the chain, if you will, more so than I thought. I kind of really narrowly focused it on once I'm onboard, and the onboarding process. And then getting to making sure that that's seamless, and me knowing beforehand, as a new employee, these are the tools that you're going to have, and knowing that a company, like with what Citrix is doing with intelligent experience, is going to be able to look at my behavior and my interaction with the different applications and help tailor that experience, is game changing. Because the employee experience is directly related to the customer experience. They are inextricably linked. We all know, disgruntled employees can be, especially with social media these days, very vocal and very impactful. And wanting them to be impactful in the best way possible. So, really smart, to hear that you're bringing in more of your line of business leaders, to articulate that value. It just makes perfect sense. >> Yeah, and it's actually broadening the horizon of everybody, because we've told our HR people, you need to be able to talk about our technology and how it enables you to do your best work. And at the same time, through these interactions, our sales teams, who as you said, who come more from a "we understand the technology" background, are learning about all of these different parts of the business, and it's even driving more, closer working relationships within our own organization, as well, so it's benefiting every aspect of what we do. >> I can see that, and also I mean, you know, we talked with so many companies, and I, one of the challenges that they have, that they probably don't even address very often is how many of our people, that work for us, can actually articulate what it is we do? And the impact that we have to customers. The voice of the customer is so potent. We've talked with all three of the Innovation Award finalists, all different industries, but all making huge strides to make that experience for end user employees, and customers, so much better. So even just having those three examples alone. >> Two of them are from Europe, by the way, just to say. >> Yes, yes, Schroders and ZF, we spoke with them, yes. But it's really, I would think a differentiator even from Donna Kimmel's perspective of attracting talent, because people understand and are able to articulate the value, as a Citrix employee, of this is what we do. We use our own stuff, and let me tell you how much more efficient and easy it's made my life. >> And we've also done something else as well, which is now whenever we come up with a new offering in the market, or a new capability in our product, we actually now ask our teams to certify themselves, that they can tell the story. And what we do is we say, you get one of your colleagues to certify. So you go, and you pitch the story to your employee and if they said it's good enough, then you'll get certified and that's becoming a requirement. So we are doing so many things to make sure that everybody in the business is capable of telling, of telling the story. And articulating it from a customer perspective, not from a Citrix out perspective. >> I think we've definitely heard that articulated very well over the last few days. Sherif, thank you so much for joining Keith and me on theCUBE this afternoon. Very cool that two of those three finalists are from EMEA. >> We are very excited about that. >> We'll be excited to hear tomorrow, who the winner is. >> Looking forward to that. Thank you very much for your time. >> Our pleasure. For Keith Townsend, I'm Lisa Martin. You're watching theCUBE live from Citrix Synergy 2019. Thanks for watching.

>> Narrator: Live from Midtown Manhattan, it's theCUBE. Covering Big Data New York City 2017. Brought to you by SiliconANGLE Media and its ecosystem sponsors. >> Hello everyone. Welcome back to our CUBE coverage here in New York City, live in Manhattan for theCUBE's coverage of Big Data NYC, our event we've had five years in a row. Eight years covering Big Data, Hadoop World originally in 2010, then it moved to Hadoop Strata Conference, Strata Hadoop, now called Strata Data. In conjunction with that event we have our Big Data NYC event. SiliconANGLE Media's CUBE. I'm John Furrier, your cohost, with Jim Kobielus, analyst at wikibon.com for Big Data. Our next guest is Gus Horn who is the global Big Data analytics and CTO ambassador for NetApp, machine learning, AI, guru, gives talks all around the world. Great to have you, thanks for coming in and spending the time with us. >> Thanks, John, appreciate it. >> So we were talking before the camera came on, you're doing a lot of jet setting really around Evangelize But also educating a lot of folks on the impact of machine learning and AI in particular. Obviously AI we love, we love the hype. It motivates young kids getting into software development, computer science, makes it kind of real for them. But still, a lot more ways to go in terms of what AI really is. And that's good, but what is really going on with AI? Machine learning is where the rubber hits the road. That seems to be the hot air, that's your wheelhouse. Give us the update, where is AI now? Obviously machine learning is super important, it's one of the hot topics here in New York City. >> Well, I think it's super important globally, and it's going to be disruptive. So before we were talking, I said how this is going to be a disruptive technology for all of society. But regardless of that, what machine learning is bringing is a methodology to deal with this influx of IOT data, whether it's autonomous vehicles, active safety in cars, or even looking at predictive analytics for complex manufacturing processes like an automotive assembly line. Can I predict when a welding machine is going to break and can I take care of it during a scheduled maintenance cycle so I don't take the whole line down? Because the impacts are really cascading and dramatic when you have a failure that you couldn't predict. And what we're finding is that Hadoop and the Big Data space is uniquely positioned to help solve these problems, both from quality control and process management and how you can get better uptime, better quality, and then we take it full circle and how can I build an environment to help automotive manufacturers to do test and DEV and retest and retraining and learning of the AI modules and the AI engines that have to exist in these autonomous vehicles. And the only way you can do that is with data, and managing data like a data steward, which is what we do at NetApp. So for us, it's not just about the solution, but the underlying architecture is going to be absolutely critical in setting up the agility you'll need in this environment, and the flexibility you need. Because the other thing that's happening in the space right now is that technology's evolving very quickly. You see this with the DGX from NVIDIA, you see P100 cards from NVIDIA. So I have an architecture that we have in Germany right now where we have multiple NVIDIA cards in our Hadoop cluster that we've architected. But I don't make NVIDIA cards. I don't make servers. I make really good storage. And I have an ecosystem that helps manage where that data is when it needs to be there, and especially when it doesn't need to there so we can get new data. >> Yeah, Gus, we were talking also before camera, the folks watching that you were involved with AI going way back to in your days at MIT, and that's super important. Because a lot of people, the pattern that we're seeing across all the events that we go to, and we'll be at the NetApp event next week, Insight, in Vegas, but the pattern is pretty clear. You have one camp, oh, AI is just the same thing that was going on in the late '70s, '80s, and '90s, but it now has a new dynamic with the cloud. So a lot of people are saying okay, there's been some concepts that have been developed in AI, in computer science, but now with the evolution of hyperconvergence infrastructure, with cloud computing, with now a new architecture, it seems to be turbocharging and accelerating. So I'd like to get your thoughts on why is it so hot now? Obviously machine learning, everyone should be on that, no doubt, but you got the dynamic of the cloud. And NetApp's in the storage business, so that's stores data, I get that. What's the dynamic with the cloud? Because that seems to be the accelerant right now with open source and in with AI. >> Yeah, I think you got to stay focused. The cloud is going to be playing an integral role in everything. And what we do at NetApp as a data steward, and what George Kurian said, our CEO, that data is the currency of today actually, right? It's really fundamentally what drives business value, it's the data. But there's one little slight attribute change that I'd like to add to that, and that it's a perishable commodity. It has a certain value at T-sub zero when you first get it. And especially true when you're trying to do machine learning and you're trying to learn new events and new things, but it rapidly degrades and becomes less valuable. You still need to keep it because it's historical and if we forget historical data, we're doomed to repeat mistakes. So you need to keep it and you have to be a good steward. And that's where we come into play with our technologies. Because we have a portfolio of different kinds of products and management capabilities that move the data where it needs to be, whether you're in the cloud, whether you're near the cloud, like in an Equinox colo, or even on prem. And the key attribute there, and especially in automotive they want to keep the data forever because of liability, because of intellectual property and privacy concerns. >> Hold on, one quick question on that. 'Cause I think you bring up a good point. The perishability's interesting because realtime, we see this now, bashing in realtime is the buzzword in the industry, but you're talking about something that's really important. That the value of the data when you get it fast, in context, is super important. But then the historical piece where you store it also plays into the machine learning dynamics of how deep learning and machine learning has to use the historical perspective. So in a way, it's perishable in the realtime piece in the moment. If you're a self-driving car you want the data in milliseconds 'cause it's important, but then again, the historical data will then come back. Is that kind of where you're getting at with that? >> Yeah, because the way that these systems operate is the paradigm is like deep learning. You want them to learn the way a human learns, right? The only reason we walk on our feet is 'cause we fell down a lot. But we remember falling down, we remember how we got up and could walk. So if you don't have the historical context, you're just always falling down, right? So you have to have that to build up the proper machine learning neural network, the kind of connections you need to do the right things. And then as you get new data and varieties of data, and I'll stick with automotive, because it can almost be thought of as an intractable amount of data. Because most people will keep cars for measured in decades. The quality of the car is incredible now, and they're all just loaded with sensors, right? High definition cameras, radars, GPS tracking. And you want to make sure you get improvements there because you have liability issues coming as well with these same technologies, so. >> Yeah, so we talk about the perishability of the data, that's a given. What is less perishable, it seems to me and Wikibon, is that what you derive from the data, the correlations, the patterns, the predictive models, the meat of machine learning and deep learning, AI in general, is less perishable in the sense that it has a validity over time. What are your thoughts at NetApp about how those data derived assets should be stored, should be managed for backup and recovery and protected? To what extent do those requirements need to be reflected in your storage retention policies if you're an enterprise doing this? >> That's a great question. So I think what we find is that that first landing zone, and everybody talks about that being the cloud. And for me it's a cloudy day, although in New York today it's not. There are lots of clouds and there are lots of other things that come with that data like GDPR and privacy, and what are you allowed to store, what are you allowed to keep? And how do you distinguish one from the other? That's one part. But then you're going to have to ETL it, you're going to have to transform that data. Because like everything, there's a lot of noise. And the noise is really fundamentally not that important. It's those anomalies within the stream of noise that you need to capture. And then use that as your training data, right? So that you learn from it. So there's a lot of processing, I think, that's going to have to happen in the cloud regardless of what cloud, and it has to be kind of ubiquitous in every cloud. And then from there you decide, how am I going to curate the data and move it? And then how am I going to monetize the data? Because that's another part of the equation, and what can I monetize? >> Well that's a question that we hear a lot on theCUBE. On day one we were ripping at some of the concepts that we see, and certainly we talk to enterprise customers. Whether it's a CIO, CVO, chief data officer, chief security officer. There's a huge application development going on in the enterprise right now. You see the opensource booming. This huge security practice is being built up and then it's got this governance with the data. Overlay that with IOT, it's kind of an architectural, I don't want to say reset, but a retrenching for a lot of enterprises. So the question I have for you guys as a critical part of the infrastructure of storage, storage isn't going away, there's no doubt about that, but now the architecture's changing. How are you guys advising your customers? What's your position on when you come into CXO and you give a talk and I said, hey, Gus, the house is on fire, we got so much going on. Bottom line me, what's the architecture? What's best for me, but don't lose the headroom. I need to have some headroom to grow, that's where I see some machine learning, what do I do? >> I think you have to embrace the cloud, and that's one of the key attributes that NetApp brings to the table. We have our core software, our ONTAP software, is in the cloud now. And for us, we want to make sure we make it very easy for our customers to both be in the cloud, be very protected in the cloud with encryption and protection of the data, and also get the scale and all of the benefits of the cloud. But on top of that, we want to make it easy for them to move it wherever they want it to be as well. So for us it's all about the data mobility and the fact that we want to become that data steward, that data engine that helps them drive to where they get the best business value. >> So it's going to be on prem, on cloud. 'Cause I know just for the record, you guys if not the earliest, one of the earliest in with AWS, when it wasn't fashionable. I interviewed you guys on that many years ago. >> And let me ask a related question. What is NetApp's position, or your personal thinking, on what data should be persisted closer to the edge in the new generation of IOT devices? So IOT, edge devices, they do inference, they do actuation and sensing, but they also do persistence. Now should any data be persisted there longterm as part of your overall storage strategy, if you're an enterprise? >> It could be. The question is durability, and what's the impact if for some reason that edge was damaged, destroyed or the data lost. So a lot of times when we start talking about opensource, one of the key attributes we always have to take into account is data durability. And traditionally it's been done through replication. To me that's a very inefficient way to do it, but you have to protect the data. Because it's like if you've got 20 bucks in your wallet, you don't want to lose it, right? You might split it into two 10s, but you still have 20, right? You want that durability and if it has that intrinsic value, you've got to take care of it and be a good steward. So if it's in the edge, it doesn't mean that's the only place it's going to be. It might be in the edge because you need it there. Maybe you need what I call reflexive actions. This is like when a car is well, you have deep learning and machine learning and vision and GPS tracking and all these things there, and how it can stay in the lane and drive, but the sensors themself that are coming from Delphi and Bosch and ZF and all of these companies, they also have to have this capability of being what I call a reflex, right? The reason we can blink and not get a stone in our eye is not because it went to our cerebral cortex. Because it went to the nerve stem and it triggered the blink. >> Yeah, it's cache. And you have to do the same thing in a lot of these environments. So autonomous vehicles is one. It could be using facial recognition for restricting access to a gate. And all the sudden this guy's on a blacklist, and you've stopped the gate. >> Before we get into some of the product questions I have for you, Hadoop in-place analytics, as well as some of the regulations around GDPR, to end the trend segment here is what's your thoughts on decentralization? You see a lot of decentralized apps coming out, you see blockchain getting a lot of traction. Obviously that's a tell sign, certainly in the headroom category of what may be coming down. Not really on the agenda for most enterprises today, but it does kind of indicate that the wave is coming for a lot more decentralization on top of distributed computing and storage. So how do you look at that, as someone who's out on the cutting edge? >> For me it's just yet another industry trend where you have to embrace it. I'm constantly astonished at the people who are trying to push back from things that are coming. To think that they're going to stop the train that's going to run 'em over. And the key is how can we make even those trends better, more reliable, and do the right thing for them? Because if we're the trusted advisor for our customers, regardless of whether or not I'm going to sell a lot of storage to them, I'm going to be the person they're going to trust to give 'em good advice as things change, 'cause that's the one thing that's absolutely coming is change. And oftentimes when you lock yourself into these quote, commodity approaches with a lot of internal storage and a lot of these things, the counterpart to that is that you've also locked yourself in probably for two to four years now, in a technology that you can't be agile with. And this is one of the key attributes for the in-place analytics that we do with our ONTAP product and we also have our E series product that's been around for six plus years in the space, is the defacto performance leader in the space, even. And by decoupling that storage, in some cases very little but it's still connected to the data node, and in other cases where it's shared like an NFS share, that decoupling has enormous benefits from an agility perspective. And that's the key. >> That kind of ties up with the blockchain thing as kind of a tell sign, but you mentioned the in-place analytics. That decoupling gives you a lot more cohesiveness, if you will, in each area. But tying 'em together's critical. How do you guys do that? What's the key feature? Because that's compelling for someone, they want agility. Certainly DevOps' infrastructure code, that's going mainstream, you're seeing that now. That's clearly cloud operation, whatever you want to call it, on prem, off prem. Cloud ops is here. This is a key part of it, what's the unique features of why that works so well? >> Well, some of the unique features we have, so if we look at your portfolio products, so I'll stick with the ONTAP product. One of the key things we have there is the ability to have incredible speed with our AFF product, but we can also Dedoop it, we can clone it, and snapshot it, snapshotting it into, for example, NPS or NetApp Private Storage, which is in Equinox. And now all the sudden I can now choose to go to Amazon, or I can go to Azure, I can go to Google, I can go to SoftLayer. It gives me options as a customer to use whoever has got the best computational engine. Versus I'm stuck there. I can now do what's right for my business. And I also have a DR strategy that's quite elegant. But there's one really unique attribute too, and that's the cloning. So a lot of my big customers have 1000 plus node traditional Hadoop clusters, but it's nearly impossible for them to set up a test DEV environment with production data without having an enormous cost. But if I put it in my ONTAP, I can clone that. I can make hundreds of clones very efficiently. >> That gets the cost of ownership down, but more importantly gets the speed to getting Sandboxes up and running. >> And the Sandboxes are using true production data so that you don't have to worry about oh, I didn't have it in my test set, and now I have a bug. >> A lot of guys are losing budget because they just can't prove it and they can't get it working, it's too clunky. All right, cool, I want to get one more thing in before we run out of time. The role of machine learning we talked about, that's super important. Algorithms are going to be here, it's going to be a big part of it, but as you look at that policy, where the foundational policy governance thing is huge. So you're seeing GDPR, I want to get your comments on the impact of GDPR. But in addition to GDPR, there's going to be another Equifax coming, they're out there, right? It's inevitable. So as someone who's got code out there, writing algorithms, using machine learning, I don't want to rewrite my code based upon some new policy that might come in tomorrow. So GDPR is one we're seeing that you guys are heavily involved in. But there might be another policy I might want to change, but I don't want to rewrite my software. How should a CXO think about that dynamic? Not rewriting code if a new governance policy comes in, and then the GDPR's obvious. >> I don't think you can be so rigid to say that you don't want to rewrite code, but you want to build on what you have. So how can I expand what I already have as a product, let's say, to accommodate these changes? Because again, it's one of those trains. You're not going to stop it. So GDPR, again, it's one of these disruptive regulations that's coming out of EMEA. But what we forget is that it has far reaching implications even in the United States. Because of their ability to reach into basically the company's pocket and fine them for violations. >> So what's the impact of the Big Data system on GDPR? >> It can potentially be huge. The key attribute there is you have to start when you're building your data lakes, when you're building these things, you always have to make sure that you're taking into account anonymizing personal identifying information or obfuscating it in some way, but it's like with everything, you're only as strong as your weakest link. And this is again where NetApp plays a really powerful role because in our storage products, we actually can encrypt the data at rest, at wire speed. So it's part of that chain. So you have to make sure that all of the parts are doing that because if you have data at rest in a drive, let's say, that's inside your server, it doesn't take a lot to beat the heck out of it and find the data that's in there if it's not encrypted. >> Let me ask you a quick question before we wrap up. So how does NetApp incorporate ML or AI into these kinds of protections that you offer to customers? >> Well for us it's, again, we're only as successful as our customers are, and what NetApp does as a company, we'll just call us the data stewards, that's part of the puzzle, but we have to build a team to be successful. So when I travel around the world, the only reason a customer is successful is because they did it with a team. Nobody does it on an island, nobody does it by themself, although a lot of times they think they can. So it's not just us, it's our server vendors that work with us, it's the other layers that go on top of it, companies like Zaloni or BlueData and BlueTalon, people we've partnered with that are providing solutions to help drive this for our customers. >> Gus, great to have you on theCUBE. Looking forward to next week. I know you're super busy at NetApp InSight. I know you got like five major talks you're doing but if we can get some time I think you'd be great. My final question, a personal one. We were talking that you're a search and rescue in Tahoe in case there's an avalanche, a lost skier. A lot of enterprises feel lost right now. So you kind of come in a lot and the avalanche is coming, the waves or whatever are coming, so you probably seen situations. You don't need to name names, but talk about what should someone do if they're lost? You come in, you can do a lot of consulting. What's the best advice you could give someone? A lot of CXOs and CEOs, their heads are spinning right now. There's so much on the table, so much to do, they got to prioritize. >> It's a great question. And here's the one thing is don't try to boil the ocean. You got to be hyper-focused. If you're not seeing a return on investment within 90 days of setting up your data lake, something's going wrong. Either the scope of what you're trying to do is too large, or you haven't identified the use case that will give you an immediate ROI. There should be no hesitation to going down this path, but you got to do it in a manner where you're tackling the biggest problems that have the best hit value for you. Whether it's ETLing goes into your plan of record systems, your enterprise data warehouses, you got to get started, but you want to make sure you have measurable, tangible success within 90 days. And if you don't, you have to reset and say okay, why is that not happening? Am I reinventing the wheel because my consultant said I have to write all this SCOOP and Flume code and get the data in? Or maybe I should have chosen another company to be a partner that's done this 1000 times. And it's not a science experiment. We got to move away from science experiment to solving business problems. >> Well science experiments and boiling of the ocean is don't try to overreach, build a foundational building block. >> The successful guys are the ones who are very disciplined and they want to see results. >> Some call it baby steps, some call it building blocks, but ultimately the foundation right now is critical. >> Gus: Yeah. >> All right, Gus, thanks for coming on theCUBE. Great day, great to chat with you. Great conversation about machine learning impact to organizations. theCUBE bringing you the data here live in Manhattan. I'm John Furrier, Jim Kobielus with Wikibon. More after this short break. We'll be right back. (digital music) (synthesizer music)

>> Narrator: Live, from San Francisco. It's the CUBE. Covering Oracle Open World 2016. Brought to you by Oracle. Now, here's your host: John Furrier and Peter Burris. (Music) (Background Noise) >> Okay, welcome back everyone. We are here, live at Oracle OpenWorld 2016. This is SiliconANGLE Media, it's The CUBE. Our flagship program, we go out to the events and extract the signal from the noise. I'm John Furrier, the co-CEO of SiliconANGLE, with Peter Burris, head of research for SiliconANGLE Media, as well as General Manager of Wikibon Research. Our next guest, I'm excited to have him back because he's a product guy and we love to go deep into the products. CUBE alumni, Juan Loaiza Senior Vice President of Database Technologies, veteran of Oracle, welcome back to The CUBE. Great to see you. >> Thanks, great to be here. >> Love talking to the product guys on the development side because we get to go deep into the road map. And we're going to try to get as much information out of you as possible. But you'll do your best to hold back, like you did last year. Only kidding. >> I know. (laughter) >> Okay no. >> You must have me confused with somebody else. (laughter) >> Maybe that was Larry Ellison, well he hasn't been on yet. Larry, we'll get you on. >> He's not so good at holding back either. (laughter) >> That's why we don't let him on. That's why they won't let him on, I think. That's, Larry would be too comfortable in The CUBE. No, in all seriousness, joking aside, the hottest areas right now is in your wheel house. Engineered systems, which is going to be a real enabler for Oracle on the performance side. And as you make your own chips, ZF SPARC and Exodeum All this other cool stuff is going to go faster, faster, faster, lower cost, higher performance. The database... >> Better security. Better availability. >> Security, I mean. Amazing stuff. But the database is where the crown jewel is for Oracle, always has been. Before you put Web Logic on it, make it sticky. But now you've got the cloud. The cloud is a environment for great opportunity for the database, business and other databases, some Oracle, some not Oracle. What's going on with the database and the Cloud? Can you take a minute to explain the current situation? >> Yeah, so that's a big question. (laughter) What's going on? So what do you want to start with database or do you want to start out with the Cloud? >> John: Let's start with the database. What's going on with the database? And what does that mean for customers as it moves to the cloud? >> Yeah. So, database we're in the process of releasing our next big database. We don't release databases very often. It only really happens every few years. It's a very big deal. So, what we're trying to do with our next generation database is modernize the whole infrastructure, adjust to a lot of the big transformations that are happening in the marketplace. So among those are things like big data. Where do we go with big data? So, with our new generation database we're making big database and database work seamlessly together. So we have something called big data SOQL, where we can query data regardless of whether it's in Hadoop, NoSQL, Oracle. It's completely transparent. So customers no longer have these silos of information. Another big thing in database is datatype search engine. So new generation wanted JSON, it's called JSON, which is a new data format, so it's used in javascripts. So web developers develop in javascript. They represent data in JSON. And then they say, hey. I don't want to take my JSON data and convert it to relational data. It's a big pain. >> John: True. So, one of the things we've done in our new generation 12-step database was say, hey. Take that JSON, we'll put that directly into the database. We'll allow it to be queried. We'll make it highly available >> John: Without a schema. Without any kind of a schema, >> Nothing. >> just throw it in there unstructured. >> Juan: Just throw it in there. That's right. So we've made it very simple for new-age developers to use JSON with databases. That's another really big thing that's happening. >> So tell us what, just let's double down on that for a second. JSON has been a big trend in API based systems, lot of abilities in JSON endpoints. For user experience, whether it's mobile or web, very prevalent now. Pretty much standard. >> Juan: Yes. >> How does that get rendered itself from a customer's perspective? Are you saying that Oracle will just onboard it into the database itself? Or is it a separate product? Or is it, I mean... >> - [Juan] Directly into the data. So we have native JSON directly into the data. We've essentially added JSON as a datatype. We've added the sequel, we have SOQL extensions. You can access JSON like an index... >> John: So, I can run in single queries on JSON? >> You can, exactly right. You can very simply run SOQL queries on JSON. >> And what's the impact to the customer? >> Juan: And all the stuff that comes with that. >> John: And what does that solve? What problem does that solve? >> It solves two problems. One is, people like that datatype. So new-age developers, they're writing in javascript. They have JSON and they just want to use it. So they don't have to convert it. >> John: Which by the way, everyone's running in javascripts. >> Right, that's right. That's the big programming language. And the other thing is unstructured data. So, data that's not structured initially, that every piece of data has its own structure. So it's a representation for saying, that dynamic, unstructured representation that's very standard in the industry. A little bit like XML used to be before. JSON is kind of the new XML, the new-age XML. >> John: Yeah, that's true. How about the data lay concept? Because Hadoop as a market, just didn't make it, right? I mean, it's out, Hadoop is out there >> Juan: Yes. SPARC is certainly relevant because you have, you know, that kind of use space and memory and faster processing. But the real power is that that a batch oriented data set. As things like Hadoop and SPARC evolve, how does that relate to Oracle's product road map? >> Juan: Yeah, so we have our own Hadoop big data plans, where we run a cloudera-based Hadoop product and what we're trying to do is make those work seamlessly with existing databases. So there's certain kinds of workload and applications that hadoop is really good for. You know, kind of a frivolous example is if you want to find cats in pictures, you're not going to do that with an Oracle database. So you know, here's a billion pictures. Find all the pictures that contain cats. Not a good application for Oracle, right? On the other hand, if you're running analytic queries against relational data that's perfect for Oracle. So we see that these technologies can coexist. So there's certain kinds of applications that are really good for that dual kind of work. Or that certain kind of applications are really good for relational. And what we need to do is make sure that these things run seamlessly. >> John: What's the glue between those two layers? >> Peter: Well that's just it, there's even more applications where they're going to want to use both. >> That's right. That's right. We can't, >> So, what's the glue? >> Eventually everyone goes to both, right? >> Peter: Yeah, so what's the glue? What is that glue? >> Well, there's a number of glues that we built. Which is, one is called big data SOQL. It lets you query seamlessly across them. We also have connectors that let you move data seamlessly between them. So, those are kind of the main glues between them. >> So one of the things that we've observed is that, to John's point, there's been a lot more downloads of hadoop than we've seen go into production. It's become a very, very complex ecosystem and it's got some limitations, batch-oriented, et cetera. The challenge that businesses have is that they try to run pilots around hadoop, because they find themselves piloting the hardware, hadoop, the clusters, all the way up to the use case. And a lot of times they end up failing. How does something like the big data pliers facilitate piloting? Because it looks like it should reduce the complexity of the infrastructure and give people the opportunity to spend more time on the use case. >> I mean, you've got it exactly right. Which is, you know, there's some people that are hobbyists. Right, like there's people that want to build their own log cabins. They want to cut their own trees, kind of build their own planks and put together their log cabin. And that's kind of how hadoop started. It was kind of a hobbyist model, right? And hadoop has kind of moved to the next level. Now, it's people that want to get stuff done. And it's like, I don't want to chop trees. You know, I want to be living in a, just give me a house. >> John: Well actually, I wouldn't say hobbyist. I mean Yahoo had a need, they needed log cabins. >> Right. >> So they built one. You know, but it was a use case. The web scaler guys needed an unstructured... >> Right. >> It has to be scalable. >> But a lot of people are very much, kind of thinking build your own. So now a lot of people want a solution. They're like, you know, I don't want to be building this. So that's where big data plans come in. Because it's a complete solution. It includes the hardware, it's been pre-tubed, pre-optimized. It includes the cloudera software. It includes all our connectors and it includes support for the whole thing. Because that's the other part. You know when you put together your own house, who are you going to call when it leaks? Right? You're on your own when it leaks. If Oracle puts it together, we can support the entire staff when you have any kind of issue, any kind of problem. And that's the kind of stuff enterprises want. It's not a hobby anymore once it becomes an enterprise >> Peter: So given that we're in a big data universe right now, where we've got use case that are proliferating very fast and we have limited experience about them. But the technologies underlying that we're deploying to build those use cases are also proliferating very fast. Is it going to be possible for the open source model that presumes downloads, try buy, not sales people, not a lot of learning, not a lot of hand-holding to make it possible to fix that whole thing or make it all come together? Or is a company like Oracle going to have to step in and take some responsibility for guiding how the market evolves? >> Yes, so open source and Oracle can work together. I mean, we have Lennox distributions. We own MYSOQL. So Oracle and Open Source is... >> Peter: You're not at odds. >> That's right. We, in fact, are one of the major Open Source companies in the world. But you know, like I said, real businesses are in it as a hobby. They want a solution. They're looking at this as a tool. And a lot of times they want somebody that can support it, that can physically assure that it's going to work for them. And they have someone they can call. It's not just hey, I'm going to post a message on a message board and hope that somebody responds. Right? I mean when you have, you know, airplanes in the air. when you have, you know, dollars flying across the network. You need a solution. You need somebody you can call and you can guarantee is going to solve the problem. And also that can ensure that the technology moves in the right direction, takes into account what users want. And that, you know, a certain level of quality and assurance is built into it. >> Peter: So let's build on that. When you look at the future of database, what do you see? >> Juan: Well, there's a lot of different, so database is in a very big change. There's some big changes happening in the database world right now. More than probably ever before. One that we've been kind of talking about is sort of this big data hadoop. Another thing is JSON. Another area is in-memory is a very big change that is happening in databases. The whole moving into in-memory, into these different kinds of formats. Along with that, Oracle is pioneering moving database algorithms directly into the chips. The chip technology, to make it run dramatically faster, to make it more available, make it more secure. That's another big thing. Building multitenancy directly into the database, that's another big area that Oracle is pioneering. Instead of having it, kind of cloudify the database directly, negatively inside the database. Another big area that we've been working on is putting native sharding of databases directly into the database. >> How about data protection? >> Well that's in the multitenancy, right? Take me through the multitenancy a little bit. How does multitenancy inside the database going to work? >> Well, okay. So that's what we call our multitenant database. It's a little bit like VM. So, Vms say, hey it looks like I have a physical machine. But in fact I have a fraction of a machine. It looks like, it looks to me like a physical machine. In fact, it's a virtual machine. >> Peter: Okay. >> We're doing the same kind of thing with the database. So it looks like I have a physical database to the application. But in fact, you're sharing a database among many users. So what is the advantage of that? The advantage of that is we don't have one database. Or thousands of databases anymore. So many of our customers have deployed thousands of databases. It becomes a huge maintenance headache to have thousands of databases. Especially in today's security world where you have to constantly patch and update these things. You can't just kind of leave them alone anymore. So if you have a small number of physical databases and lots of virtual databases it completely saves costs. It's more agile. Opex lower. Capex lower. That's the new world of multitenant cloud data. >> John: Also it's brand new with appliances. And I want to get your thoughts on last year the big range that I liked was this zero data loss >> Recovery plan, yes >> ZDLRA. >> Juan: That's right. You got it right. >> What's the, I mean very fascinating, basically zero data loss. >> Peter: It's cool technology. >> Juan: Yes. So what is, is that still on the, out there? What's going on with that? >> Zero data loss and recovery parts is our fastest growing appliance right now. >> John: It is? >> Yes. Easily. It's been very well received by the market. We have some of the biggest banks now, running it. Financial institutions, retailers. Why? Because its a very simple value proposition. Which is, hey I want to protect my data in a way that it's constantly protected that I don't lose any data. In a way that is scalable. In a way that offloads my production database. It's a very simple... >> That's a grace saving situation, right? So like the people that have these security breaches, is this where that fits? Where's the use case for ZDLRA? >> ZDLRA is not security, it's about availability. >> John: Okay, so if someone basically shuts the data center down. >> Right. If that database becomes corrupted... >> John: In one region. >> If there's some natural disaster. If there's a bomb. If there's a whatever. Is my data protected? Will I lose anything? Nobody can afford to lose data anymore. In the old days, when you did a backup, you did a nightly backup and then if something happened, then you'd restore it. Well guess what? That doesn't work anymore. We're too dependent. So, nobody wants to lose their airline records. Nobody wants to lose their bank records. Nobody wants to lose their retail records. We can't afford to lose data anymore. We need a solution that's zero data loss. >> I'm surprised aren't, there's not more fanfare at the show about that. I was really impressed last year I'm glad to hear it's doing well. Containers. Database containers. >> Juan: Yes. This is something that we talked about a little bit last time. >> Juan: That's the same as multitenants. >> Okay. That's multitenancy. >> Juan: It's different terminology for that. >> okay, now cloud based databases. Now we get to the cloud. Where does all this go to the cloud. >> Okay, so you know traditionally customers deployed on premeses. what we're doing now is we're taking the Oracle database that we've developed the last 40 years. It's the most sophisticated database in the world. And we're moving it onto the cloud. So what does the customer get? They get, they can provision it instantly. So you go onto our website and say I want a database. Here's the size. Here's the number of CPUs I want. Boom. They get it. They pay monthly instead of paying upfront. They don't pay for the licenses. They just pay us a monthly fee. And then Oracle operates the whole thing. It's like, I don't want manage it. I just want to use it. So that's the benefit of the cloud. I go somewhere. I need a database. I get it right away. I don't have to mess with it. And I pay monthly. >> John: So the Oracle, on your Oracle cloud you would then deploy all those other goodness, ZDLRA, all the other technology >> Juan: All that stuff, yes. (crosstalk) behind the curtain, so to speak. >> Juan: So we have a range of offerings in our cloud. So we have a regular database service. We have an enterprise service. And then we have a high end service, an exit data cloud service, right? >> That runs our exit data. Super fast, super available. And then we have something called exit data express, which is the lowest cost cloud database in the world. So we have kind of three things, depending on what the customer wants. They want a smaller database for really low cost. They want a super mission critical, high performance database or they kind of want something in the middle. So we span the whole range. And, by the way, our high end is higher than anybody else. Our low end is lower cost than anybody else. So we span a bigger range than anyone else. >> You know Juan, next year we need to get an hour with you. >> Juan: Yes. >> To cover all the... >> Juan: It's a lot of topics. >> No. You're a great guest. And you have a lot of experience and a lot of, and we appreciate the insight. I'll give you the final word, I want to get one more answer out of you because you're awesome. You're sharing great insight. For the folks watching, what's the one thing or one or two, three things they should know about Oracle, Cloud, the technology, the database? The things going on at Oracle that they may not be hearing about it could be the best selling things. Something that's not on the main stream press reporting. >> Well, you know our Oracle cloud is pretty simple. I mean, the main thing to understand is that it's 100% compatible with databases on premises. So it's very easy to move workloads back and forth. That's the main thing. And the other thing is, we are, we use the exact same infrastructure. So we've been developing, for example, our exit data product, which is kind of the precursor to cloud. It's a very specialized database system run on premises. And now we're running that in the cloud. So again, the customer can get the exact same thing. And our latest offering is cloud at customer. So we take those same cloud attributes and we can put them >> John: It's the cloud machine, right? >> inside the customer database. >> Juan: Yeah, so we have a cloud machine, an exelated cloud machine, and a big data cloud machine. >> John: So customers get all the choices of Oracle. >> That's right. So the customer has full choice, they can move to the cloud if and when they want at the speed they want. They can move back and forth. They can do disaster recovery in the cloud. They can do backup in the cloud. They can do development in the cloud. So all these range of offerings, all these range of choices are now the customers. >> So true or false? Larry Ellison is the master at the long game? >> Juan: Larry thinks long term, absolutely. >> John: Of course, true. >> Yes, absolutely. He's brilliant and he's shown it over and over again. >> I agree, big fan. Yesterday's key note, Larry could've done better. But he was too busy getting all those announcements out that he was mailing in at the end. It was so many announcements. >> Juan: It's hard these days because Oracle, there's so much happening at Oracle. There's so much happening at Oracle. Juan, Thanks so much for spending your valuable time with us at the CUBE, we really appreciate it. This is SiliconANGLE Media's The CUBE. We go out to the events I'm John Furrier, Juan Loaiza Senior Vice President Juan Laoiza, Senior Vice President of Database Platform Services. Live in San Francisco. We'll be right back. (Music)