(upbeat music) >> Welcome to this special program series by theCUBE, "Women of the Cloud", brought to you by AWS. I'm your host, Lisa Martin. Very pleased to welcome my next guest, Tia Dubuisson, president, co-founder of Belle Fleur Technologies. Tia, welcome to the program. It's great to have you. >> Thank you so much, Lisa. I'm very happy to be here, thank you. >> Tell me a little bit about you, a little bit about Belle Fleur Technologies and your current role. >> Yeah, so myself, a little bit about me. I'm actually a former microbiologist, so we'll talk a little bit more about that and my journey into tech and shifting over into helping others, right? Belle Fleur technologies was birthed basically after I got a wake up call in the lab and saw that data was really going to be driving a lot of decision making, you know, in not so near future, which we're seeing now, and that was probably a good 11 years ago and you're seeing almost data driven everything or at least conversations about that now. So I have to say that was a good shift. And how we help customers, we're a consulting partner, and so helping them to make a journey that maybe I made on maybe more of an individual level to shift into you know, what does that look like? You have data but gaining the value out of it to actually make, you know, decisions. And so helping our customers to actually do the assessment around the type of data that they have taking them through a process all the way through to insights that they could then look at how can we monetize that is where we actually play and that is our specialty. >> Okay, my heart skipped a beat when you said you were a microbiologist because that's what I studied in undergrad. Oh my gosh, isn't that crazy? That's what we have in common. >> I'm super excited about that, yes. >> Yes, and I got segued into tech as well so we could chat for hours about that I'm sure of it. But, you know, you bring up such a great point, especially science being so data driven. Every industry is data driven. Every company has to be a data company and to help organizations really understand where their data is it's growing obviously continuously, exponentiation how to extract value from it is where a lot of organizations really struggle. So it sounds like that Belle Fleur comes in and really helps organizations to tackle that challenge so that they can extract value from the data that will give them that competitive advantage that they're looking for. >> Absolutely, absolutely, Lisa. >> So talk to me a little bit about your career path was zig-zaggy which I love, so is mine. What are some recommendations that you would have for others watching this program that are really looking to step that ladder in tech from a career perspective? >> Well, I think, you know if I pull from my own individual experience, I would definitely say when you have that aha moment, try to investigate a little bit more about that. I was blessed in the sense that I was married to a computer scientist, so I was able to go home and kind of tell him, hey, I just saw a demonstration that blew me away. We were doing drug discovery work, and we were going to be able to use a computer program to basically help us to narrow the focus of our drug discovery work to see which drugs would be most active before we even synthesized them. And so that was going to save us a lot of money, a lot of time. Drug discovery work is a guessing game, itty house. So if a computer can actually make a million different compounds in a month, I knew that was way more than me and the whole team could make at the bench and then order them by activity. So I came home and I told him that and he said, oh, in 10 years everything will be data driven, no doubt. And we started to have these conversations. And so then I started to then investigate a little more. I started taking courses, dusting off my Python, my R trying to see, you know, where else is data, you know, king. And basically it was everywhere. I wasn't seeing a lot of people at that time really using their data. There was really dark data still, right? They were collecting it but not really using it. And so I said, I think this is something I can help companies do. And I was really excited to really learn more about that. So I started to go learn, pick up certification. So then I'm starting to reinvest in myself. I would really highly advise you once you find that this is part of your passion. You know, find a mentor. I was, thankfully I was already married to a mentor, but there are other mentors and he wasn't my only mentor. There were others, right, to help you along this journey 'cause no one person rules, I think rules at all, right? When you're trying to make this journey and try to make this shift because it is complex, and so you want to make sure you have your tribe, right? That's going to get you there and you want to make sure that you can contribute to the tribe. So I always tried to find ways that I could actually contribute to different projects, right? Even if they're open, you know, projects, hackathons go to boot camps, a lot of them are free, some of them not so free but pretty close. And I think it's, you know, kind of lowers that bar to access where you can kind of take a little peek and you can even go to some that are, you know, driven from an area that you're interested in. If you're interested in healthcare, do a hack for good around healthcare. You know, try to get involved. You'll meet a lot of good people that I think will be very happy to help steward you along the way as you try to navigate these waters, 'cause there is no straight path, right? There is no A plus B gets you to C. You really kind of have to navigate those waters. But I would definitely say get the exposure, make a decision around your passion, meet, you know, nice people at boot camps, you know, workshops, hackathons and then go for some of those industry certifications. Do an do an online search, you know and find out what are the top 10 certifications that would help to support a role that you're looking for, right, in the area that you're passionate about. And then invest in yourself, study for it go for those things, make plans, right? And bounce those off of your mentor. I think they'll be very impressed that you laid out plans and you're actually meeting those goals. They'll be more inclined to actually invest back in you, as well. >> Absolutely, and I love how you said invest in yourself. You laid out some really great tactical recommendations and guidelines. There's very few paths do I come across in tech that have been linear. Most of them have been like yours and mine very zig-zaggy. But the most important thing is investing in yourself. And sometimes I'll hear people say things like create personal board of directors and that kind of reminded me of some of the things that you said, to have those mentors, have those sponsors. To your point, after you invest in you and have those folks invest in you as well. That's great advice, Tia. >> Awesome, thank you so much. Yeah, absolutely, we have to invest in each other. I think that that's the better together story here, right? >> I do too, it's got to be symbiotic. I'll bring up a a biology word for you, symbiotic. (laughs) >> (laughing) Yes, symbiotic. >> Yes, let's talk a little bit now about some of the specific projects where you've helped either internal customers or external customers solve problems related to cloud. >> Yeah, so I would say from an internal customer standpoint, that's what we call our employees, our our BFFs, right, our Belle Fleur friends. We want to make sure that we're investing in them just as much as we do our external customers. If you have happy internal customers, you're definitely without a shadow of a doubt going to be able to solution and really have happy external customers. So you got, you know, everything starts at home first, right? So far as you know, success stories, I would say from the internal customers is really looking at how to upscale and reskill not just junior talent but senior talent. Probably over the last two and a half years, we've been working very closely with a couple of non-profits, community colleges that now have cloud computing certificates that you can get, and also bachelor's degrees, and actually creating a talent pipeline, a playbook for a talent pipeline, to reskill and upskill, to make sure that people have the skill sets that are in market today. We were seeing that there was a gap between classroom and industry as we were trying to hire. And so we wanted to be a part of the narrative not just point out the problem. But how can we really dig in there? And so, it's been tested, tried and true this playbook over 300 different interns, as well as apprentices. So we're super excited to actually have a playbook that, you know, we're able to pull from that we're now sharing with our external customers. They are also struggling with the talent pipeline. They said, hey, you come and you build these solutions so, you know, internally we need to be reskilled and we need to be skilled up and how can we work alongside you and your team not just to build out the solution but for the longer term? How can we actually build out a bench that's healthy, right? That can keep up with the pace, right? That cutting edge pace of innovation and get right in there. And so it's been really great to work with a good majority of our customers are very quite interested in the how. They maybe don't have that playbook internally or that process internally, which tends to be a challenge. So I would say, so far as cloud computing, in addition to just solving, you know, technical problems that is something in parallel that you equally have to give a lot of respect to, right? >> Yeah, absolutely. Speaking of the talent pipeline, I want to get your thoughts on where we are with respect to diversity. We talk about DEI a lot in technology but there's still challenges there. What are some of those challenges that you see and how can organizations really correct those challenges to build a diverse talent pipeline? >> That's a great question. I would say the challenges, I would call 'em the three A's, access, acceleration, and acceptance. And I think what we found with just doing this journey in the last two and a half years really documenting what are those challenges and how can we, you know, iterate to kind of just get past those challenges and just blow right through the doors and say, hey, there's ways that we can introduce access. And so joining forces, like we said with those nonprofits and those community colleges that are already, I think we all have different pieces of the puzzle, and I think we're all trying to give different pieces of access, but how do we draw a thread through it? And I think that's what our playbook attempts to do. I mean because when we say in tech that is so vast and so even within tech we say, okay, within tech these are the areas where we play, right? We have a playbook around data and analytics and we're now working from (indistinct) machine learning. And so we're looking at individuals that are coming from backgrounds that maybe are not typical, right? Maybe not a computer science degree, maybe they're biologists, like ourselves, you know, maybe that's how they started. Maybe they're psychologists. We have a few psychologists on the team. We have accountants on the team. And so what happens is that we're able to go into these different groups that we're partnered with and actually showcase to them from an access standpoint, how is tech really intersecting. I don't like to use the word disrupting, but intersecting with, you know, the traditional accounting degree, with a traditional biology degree. Did you know that this was happening? You know, and try to peak their interests and if they're interested in learning more taking them through that process. A very similar process that I had to make that decision you know, over a decade ago to really, you know, look at ways to reskill myself. And so we've put together different programs with those nonprofits and the colleges and other partners as well to make sure that we're moving them along the way and the path of access, and then, you know, also giving, you know some acceleration around some of the different programs. Some of the colleges are giving scholarships, which is awesome, with some of their partners to accelerate some of the people through our program to actually get some of those skill sets that are very applicable. Helping them to understand how their psychology background actually plays a part in that. So really not using random examples but really examples from their traditional learning and saying, you know, this is how this applies in the tech world. And so then it really helps to lower that bar, right? You know, so that they can really, not only have access, but really accelerate because now it's applied. And so when you are able to then apply it, show them how it can be applied in other industries, right? Whether they're similar or not, we all have data and data takes a very similar path in an interesting way. So once they're able to dive in there and then the acceptance, so then making those partnerships with our customers and, you know, other industries that maybe don't have this talent pipeline but would like to have that. They partner with us for the pipeline and so making sure that either they land with us or with one of our customers where they can now showcase what they've learned. They can go in and be more, maybe more junior at those companies, but they're able to grow over a two year cycle with that company that has an agreement that they're actually going to nurture that talent and really, you know, invest back in people who have invested in themselves. >> I love what you just described as four A's. It's so intentional and I think that's what a lot of organizations miss with respect to diversity is it's not, and it's not done with intention and interest as it should be, but it sounds like what you've developed is a fantastic playbook to provide access, to provide that ability to accelerate, to be able to apply their skills. Really kudos to that because my cheeks were hurting from smiling with what you were describing. It's just, it's so needed. There's so much opportunity out there, especially for people who might be on a zig or a zag and not sure where what to do next. Showing them, giving them the access, showing them what they can do and how it applies to their industry with data that's where the world is going. So I love that, very exciting. Last couple questions for you as we wrap up our time here. What are some of the things that you see next in cloud that are evolving that excite you about where we're going? >> I'm super excited. It brings you back to the A's. I think that companies of all sorts, right, have already gotten a lot of access because they can build a, you know, they can build a not a server farm, but necessarily they can have the power of the same computing, right, as some of the larger enterprises, whether you're a startup or, you know, smaller, medium-sized business. So I'm super excited that it's going from, I think more of a solution conversation where you're a lot closer to the end goal even from the first assessment conversation and less of an infrastructure kind of conversation where you're talking about the different services around cloud computing and, you know, inside those. And so I'm super excited about that. I think, you'll see a lot of solutions being kind of more or less pre-baked ready for those buy versus build conversations. You'll still have to configure. You'll still have to integrate, but I think we're going to all live around the API. I see a lot of APIs, you know, driving some really great SaaS applications that are really then connecting data to everything. And then it's not just about having that data that can then be shared across the organization, but even organizational units across the enterprise can self-serve from those analytics and those insights instead of, you know, I think back on one of our customers, they were a manufacturer and really it was their accounting team that brought us in and they said, listen, we need to get insights during a manufacturing run to make decisions if we're profitable or not. Right now, we're manually trying to wrangle the data as accountants across different, you know, even different states, right, to get this information and we're not getting the insights, and we're scratching the surface 'cause we don't have that time until a month after it's already shipped. There's really at that point you can't make a decision. And so they really wanted to change that. They really wanted to look at profitability. They really wanted to look at how can we go back to just being accountants? Like we don't want to be data wranglers. >> Right. >> And I think a lot of our customers are in that boat. They don't want to manually wrangle data. How can you help us to at least make it to where it's more of a self-service, and we're consuming, not the data, but the insights, right? So we can be actionable on the insights. And that's what I'm super excited about, and that's what I think you'll see become easier and easier for companies to be able to do with cloud computing. >> Which is so exciting because the frontier is endless but as every company, whether it's a retailer, or a manufacturer, or a life sciences organization have to be a data company these days. There's no choice. You have to be able to serve customers 'cause of course we have the demand as consumers in our personal lives and our business lives. We want that data to deliver relevant content to us. And so organizations have to work with folks like you to be able to do that. Tia, it's been such a pleasure having you on the program. Thank you so much for giving us some of your time walking us through your interesting background and some of the great techniques that you're employing at your company to really help drive organizations to be successful with with the talent pipeline, with the cloud. We really appreciate your insights. >> Thank you so much, Lisa. Appreciate you, theCUBE, AWS as well, thank you. >> Yeah, you're very welcome. For Tia Dubuisson, I'm Lisa Martin. You're watching theCube's special program series, "Women of the Cloud", brought to you by AWS. Thanks for watching. (upbeat music)

live from San Francisco it's the queue covering micron insight 2019 back to you by micron welcome back to micron insight 2019 in San Francisco you watching the cube the leader and live tech coverage we're wrapping up our day Dave Volante with David Floria we're Kia Jones is here she's the senior principal for 5g connectivity in the GPM group at Microsoft great to see you great to see you guys it's been a wonderful day yeah nice job up on stage today you know we're gonna talk a little bit about a 5g and get your perspectives on it but tell us more about your group and sort of what you focused yeah well you know I'm in Azure and azure is even though it's our cloud infrastructure there has to be a lot of backbone support so inside of networking we have all those components that would support the physical structure of cloud technology so we focus on virtualizing a lot of the different managed services that we have and we provide those to customers for scalability and sustainable models that allow them to pretty much transport data safely what's it like inside of Microsoft these days I mean what a transformation of the company I did a little segment on LinkedIn the other day a little video segment there's a lot of ways if you want to spend some money there's a lot of ways to spend money with Microsoft you know you got cloud you got an application management you got security you got all the abs I mean really is you're hitting on all cylinders it's what a dynamic what's it like inside of there these days you know I think I think the world now is very different I see Microsoft making a huge transformation over the last have only been there three years but what I can say to you is that I see that the opportunity is there for partnership now which is something that I don't think we focused on we did too well in the past with our new CEO Satya Nadella and Peggy Johnson who leads our business development I mean we are really taking the the game and just changing and and making making it more something that we can do with everyone instead of in silo and so the culture is definitely changing is their opportunity yeah but I think our company is dedicated and focused on you know creating more diverse technology that can meet two customer's needs all over the yeah I mean windows are still a huge part of Microsoft's business but it's not the future of Microsoft it's very very impressive to see that transformation all right what what should we know about 5g what's Microsoft's put point of view on 5g what's the opportunity for you well that's a great question a lot of people were like Microsoft and 5g how does that work well in the past I think with the telcos and all the communication service providers we've always been either their customer or they've been our customer the new world that we're going into now is how do we help the telcos now be better enablers so that we can accelerate business and so I took over this charter along with my boss Yusuf Khalidi and about a year ago and our vision for what we thought we could do came to really great reality when we understood the the ecosystem that already existed this this business of 5g is not as simple as it sounds so what we decided to do and we released a press release back in July was we're going pretty much all in in a sense with AT&T in helping them with their global strategy for really Wireless you know to help stabilize their wireless network and combine some software-defined principles and capabilities so what they're they're already planning for in the future so I think with that transformation honestly a lot of it is unknown but we're taking a day by day we're talking earlier about a lot of is unknown in terms of like what apps are going to emerge who's gonna pay for what but but there's a lot of hype around 5g certainly a lot of folks in the technology community you're excited about it yeah help us understand what's real and what's not what's hype and what sort of things that users can actually expect and then I want to know exact months and you know what I think if you can imagine it it's a possibility I think it all boils down to the type of partnerships I always say that it's the power of three in the sense in the past has always been the power of two where two companies come together we can make it work well now you need you need an extra component not only do you need a company like Microsoft but you need to tell Co but you're going to need a system integrator right and I'm not talking about the hardware side but more of the software application side I think if a lot of people talking about like these things we know that smart city we think that's a possibility real soon mmm I still think we got it way to go with a lot of the townships and the city infrastructures moving so slow with governmental policies changing I think that we can likely see improvement in connected vehicles connected you know Internet of Things in and if everything is coming we first must be able to connect the dots with those things first before we actually bring in a government entity I think they have a lot of questions that we're not yet ready to answer and so I think there's a lot of great need for POCs and that's what my team focuses on inside of Azure networking he's looking at what can be the next PLC where we can help truly define the next generation requirements you're kind of acting as the accelerant I like the power three analogy a bump set spike yeah right now fashion sports analogies in the cube and then you know you point about I think governments is right on I was saying the earlier to David that I participated in a mayor of Boston as this you know the Smart City future initiative and you're talking 2050 oh yeah you know that's their time horizon I'm trying to figure that that's right around the corner yeah I mean I can't believe we're about to be in the 2020 feels like I just graduated high school when you're looking at these opportunities there seems to be a big divergence of opinion in terms of networking between are you going to push the processing out to the edge and do as much of it possible there and only take the the subset of data from that processing or are you going to bring it in to some sort of center to do do the processing there yeah what are you what are you seeing in your five-year as the models of computer putting together compute storage and networking yeah for me I have a this is rukia's opinion but I think that in the future when we talk about compute we need to be able to chop it up and we need to sell it to individuals individuals could be enterprises or consumer in my world and the way I think about this I think that we have an enormous amount of opportunity to give customers freedom and flexibility if we're not able to give them freedom and flexibility I think that we really limit the possibilities of what truly podgy can bring and so in my world I believe that you should be able to prepay for your computing power I believe that you can literally distribute it among all your devices within your families like you know you have the family rate plans that the telcos are selling well think about this and that family rate plan now there's an additional component that you will sell which will be compute I may not want to go as fast as you like for gaming for instance absolutely right okay gaming for everyone and at the speed of what you need so atomic of components of compute that you can actually assign to individual users applications workloads yeah it's not - you told me tomorrow rookie what do you want to do that's not saying ok so what what are you doing here what's the connection between sort of Microsoft your role and you know this micron insight event micron is a a great partner with with Microsoft I think we do a lot of business as it relates to chips I specifically am here because Peggy Johnson supports the company and she's over our business development operations for the companies and she believes micron is on to something and so I'm proud to be here and getting to know more about the business visit micron and the partnerships that we can create in the future well we more partnerships obviously you need membrane storage to run all this totally do we can do it part of the build-out well Rukia thank you so much for for coming on the cube we'll give you the last word your takeaway is what should we be watching for from you and your group yeah I mean I think that as we go forth with our partnership with AT&T which happens to be one of the global carriers around the world we are planning for some amazing things and we will make announcements at our Microsoft ignite event in early November and so I hope that everyone will attend that event and perhaps support us by sharing the information and coming to talk to us about new partnerships with our clouds networking department great well we'll be there at ignite hope to have you back on that'll be great thank you and thank you everybody thank you David Fleur a great job with the crew which is a wrap from Pier 27 at Microsoft blending Microsoft mega you both say the same names right the insight conference micron inside 2019 check out Silicon angle comm check out the cube net for all the videos and we'll see you next time is Dave Volante for David floor thank you

from our studios in the heart of Silicon Valley Palo Alto California this is a cute conversation welcome to the cube studios for the cube conversation where we go in-depth with thought leaders driving business outcomes with technology I'm your host Peter Burris digital business and the need to drive the value of data within organizations is creating an explosion of technology in multiple domains systems networking and storage we've seen advances in flash we've seen advances in HD DS we've seen advances and all kinds of different elements but it's essential that users and enterprises still think in terms not just of these individual technologies piecemeal but as solutions that are applied to use cases now you always have to be aware of what are the underlying technology components but it's still important to think about how systems integration is going to bring them together and apply them to serve business outcomes now to have that conversation we've got David Fleur who's the CTO and co-founder of wiki bond and my colleague David welcome to the cube thank you very much Peter all right so I've just laid out this proposition that systems integration as a discipline is not gonna go away when we think about how to build these capabilities that businesses need in digital business so let's talk about that what are some of the key features of systems integration especially in the storage world that will continue to be a helps differentiate between winners and losers absolutely so you you need to be able to use software to be able to combine all these different layers and it has to be an architect software solution that will work wherever you've got equipment and where have you got data so it needs to work in the cloud it needs to work in a private cloud it needs to work at the edge all of these needs to be architected in a way which is available to the users to put where the data is going to be created as opposed to bring it all in in one super large collection of data and so we've got different types of technology at the very fastest we've got DRAM we've got we've got non-volatile DRAM which is coming very fast indeed we've got flash and there are many different sorts of flash there's obtained from Intel that may be trying to get in between there as well and then there are different HD DS as well so we got a long hierarchy the important thing is that we protect the application and the operations from all of that complexity by having an overall hierarchy and utilizing software from an integration standpoint but it suggests that when an enterprise thinks about a solution for how they store their data they need to think in terms of as you said first off physically where is it going to be secondly what kinds of services at the software level am I going to utilize to ensure that I can have a common administrative experience and the differentiated usage experience based on the physical characteristics of where it's being used and then obviously and very importantly from an administration standpoint I need to ensure that I'm not having to learn new and unique administration practices everywhere because I would just blow everything up absolutely but there is a real there's going to be in my opinion a large number of these solutions out there I mean one data architecture is not going to be sufficient for all applications they're gonna have many different architectures out there I think it's probably useful just to start with one as an example in this area just let's take one as an example and then we can see what the major characteristics of you are so let's take something that would fit in most places a mid-range type solution let's take nimble nimble storage which has a very specific architecture so it was started off by being a virtualization of all those different layers so the application sees that everything is in flash and in cash or whatever it is but where it is is totally different it can be anywhere within that hierarchy so the application sees effectively a pool of resources that it can call yes all it sees and and it doesn't know and nobody and it doesn't need to know that it's on disk or a hard disk or in in memory in in in a cache inside the controller or wherever it is so it starts with using nimble as an example nimble is successfully masking the complexities and specificities of that storage heart and from the application right so so and and that's an advantage because it's simpler but it's also needs to cover more things you need to be able to do everything within that virtualized environment so you need for example to be able to take snapshots and you the snapshots need all the metadata about the snapshots needs to be put in a separate place so one of the things you find that comes from this sort of architecture is that the metadata is separated out completely different from the actual data itself but still proximate to the data because data locality still matters absolutely has to be there but it's in a different part of a hierarchy it's much further up the hierarchy all the metadata so what we've got the metadata we've got the flash high speed we've got the the fastest which is the DRAM itself that when for writes is has a protection mechanism for that that part of the DRAM specialized hardware in that area so that allows you to do writes very very quickly indeed and then you come down to the next layer which is flash and indeed within the in the in taking the nimble example you have two sorts of flash you can have the high-speed flash at the top and if you want to you can have lower performance flash you know using the 3d quad flash or whatever it is you can have lower performance flash if that's what you need and then going lower down then you have HD DS and the architecture combines the benefits of flash with the character and the characteristics of flash with the benefits of HD d which is much lower cost but the characteristics of HD d which are slower but very suited to writing out large volumes or reading in large volumes so that's read out to the disk but where where it's all held is held in the metadata so it's really looking at the workloads that are going to be they're gonna hit the data and then with out of making the application aware of it utilizing the underlying storage hierarchy to so best support those workloads again with a virtualized interface that keeps it really simple from an administration development and runtime perspective actually all right David foyer thanks very much for being on the cube and talking about some of these new solution-oriented requirements for thinking about storage over the next few years once again I'm Peter Burris see you next time you [Music]

>> Announcer: Live from Las Vegas, it's theCUBE, covering Dell EMC World 2017. Brought to you by Dell EMC. >> Welcome back, here at Las Vegas at The Venetian. As theCUBE continues our coverage of Dell EMC World 2017. Along with our co-host, Paul Gillin, I'm John Walls, good to have you with us. As we, I guess were coming down the home stretch. >> Paul: We are. >> Day one. >> Paul: End of the day. >> Here at Dell EMC World 2017. With us now is Chhandomay Mandal, who is product marketing director at Dell EMC. Double dipping on us, we just had you on a few moments ago. This is nice, we get two shots. >> Thanks for having me. >> Good to have you back with us, yeah, it's good. >> Chhandomay: Thanks for having me. >> So before we were talking about XtremeIO, what you were doing in the healthcare space. Moving over now to copy data management, different part of your portfolio, and kind of what's up in that world with you. So just give us a little rundown, an overview of what you're up to right now. >> Sure, so let's start with what exactly is copy data problem. Why it's a problem, and why we need to be solving it? If you think of any business application, it comes with its production data. But for every bit of production data, you have many different copies. For example, when you're developing applications, you need copies for your development and testing. You need copies for your backup. You need copies for running your analytics environment. It's for every single production database, typically, we see five to 12 copies of that data. And in fact, I did see estimates. The copy data sprawl is like 40 billion dollar market, and 60% of all the data that exists are on copies. Now, our mission, especially with Dell EMC XtremIO, is to solve that copy data problem, giving the customers back a lot in terms of the storage efficiencies, and not only is the storage TCO, but transforming the business workflows. We did copy data management so that they can realize storage and infrastructure settings, but also the business impact from transforming the application workflows and bringing new production market in a much quicker way. >> So you said a 40 billion dollar market, I mean, what are the costs here? Is it just storage cost? Is it bandwidth, is it errors? Lack of data being out of sync? >> So the cost here has multiple components, right? First of all, there is the cost of the lost storage where you need to put the data on. But then, there comes the cost of managing the storage. How do you figure out where you backup copies are, if you need to restore, where are you going to get the data from? It's a cost of inefficiency meaning, like if your developer who is the highly paid, highly productive guy, supposed to be, right? He is waiting for the DBA or the storage admin to give the copy that he needs, then, that's just enough money, right? It's not just the infrastructure cost, but also the soft cost of, like your ability to bring the product to the market in a quicker way, addressing your customer needs in a quicker way. That acts up and those are the components in, like, how I value this intermarket. >> I guess what I'm hearing here, if you got five to 12 copy sets of data, I mean, massive amounts of waste in some cases, right? And maybe some of your clients, they like to know where everything is, but do they lose track of it, and so it's taking up space, taking up money, taking up time. Is that, are these the problems they're facing? >> Chhandomay: Yes, yes. >> Alright, so then, what's the answer then in terms of this better identification? There's X2, get to the heart of that, and help them in terms of better efficiencies? >> How do we achieve that efficiencies? Now, one thing is, the way, first of all, like, if you can consolidate your copies into one single platform. And copies are duplicate bits, right? So, first of all, the first thing in the process is you eliminate all the duplication that exists in your storage. You have your production data base, and you have your copies, which are, if not unique, then basically should not take up any extra space. Now, you take those copies, and make it like a repair plus one. So for example, your Dell part can run tests on it. So when the rights are coming in, only the changes that are happening, that should go into the storage. So that's Part A. Part B is, when you are running production environment, as well as what works on your copies, you need huge performance with consistently low latency. Because you cannot impact your production SLS. You have to meet that. >> You can't tell it, "Hang on, I've got something "else going on over here, right?" >> So you need a platform that can handle consistently high performance with low latency no matter what workload you are running. And then the copies themselves need to be very efficient. They should not take any extra space, unless there is something unique. And they should be able to perform just as well as in a production value. The hard part of this is, you need to orchestrate the inner process, right? I mean, you as in oracle admin. You really do not need to worry about how and where the storage is going to be saved for your copies. You click on a button, and it should do all the steps necessary right from your application console down to the storage. So this is the application orchestration that we in-built with AppSync and XtremIO. And then we have APIs that our customers can use to provide their own service catalog. So using these pillars, we consolidated all the copies, on the same platform, running different applications, with the same SLS, okay? And that kind of helps the customers to bring product faster, and address the copy needs. >> Now, this is a very hot market right now. And I'm thinking there's some startups, I'm thinking of Actifio and Catalogic in particular, that say that you shouldn't have many copies. You should have one copy, and then you should have pointers to that. What's your opinion of that? What are the pros and cons of that approach versus yours? >> So our approach, essentially, I mean, since you mentioned, right, there are copy data management vendors. What they're doing is, you have your production, then you make a gold copy off your production, and from that gold copy you run off different applications on those copies, right? So here you are introducing another element, another software, and another appliance, so to speak, to manage the copies. What we are doing, is kind of like you don't need that extra copy that your analytic part provider can provide. And then there are performance implications with the integrated copy data management that we are referring. The reason we can do it is, all of our metadata is in memory. It does not consume any extra space for storage. And no matter what the workload is, we can offer consistently high latency because everything is, the metadata is operating from the memory itself. So the way the third parties are doing, we do it the same way, even better, and at the production level. >> Another thing, and forgive my technical ignorance here, but David Fleur at Worky-Ban, has talked a lot about the benefits of flash storage. In that you don't have to create copies, you can create a single copy in flash, and then multiple users or applications can work from that. Do I have that straight? He says that's a game changer. >> Yes, that will be that game changer, and that's really like what we do. The caveat to that is, when you are creating the copies, and you want to run applications on the copies, your production should not be impacted, and the copies should also be able to deliver the same performance. And that part has been the challenge with other solutions in terms of providing the same performance, the same data services on the copies themselves. That's the idiot we solve will our intelligent content error in memory metadata architecture with XtemIO. >> You're talking about the integrated data management just a little bit ago. I mean, from a real life perspective, can you give us an idea about maybe a success story, somebody that you can point to and say, "This is how they incorporated that "into their process, I see it work for them, "and we can make it work for you too?" >> So, I'll give you an interesting statistic. We have 3,000 plus customers running XtremIO in production, and we get all the phone home data at our end, and we can see what they're doing. Now, for XtremIO customers, 56% of the copies that they're making, they are running workloads on them. They are not just for local data production. And, all the IOs, XtremIos that is out there in the field we'll see, 40% of the IOs are because of the copies. So we see across the board on the customers. I have many examples. For the sake of time, I'll just speak one. We all know Moen, they are the leading, not American manufacturers of the faucets, right? It's a big shop, and they have like, a lot of SLP landscapes in there. Before XtremIO, they could not keep up with the backups and the copies that they needed. After moving to XtremIO, now they can actually take the copies of their production SLP landscapes twice a day. They are quietly running reports. They are actually running like 90% shorter, and in fact, we were talking with Harvey H., literally, like before this segment, right? He was also talking about how efficient their copies are. I was talking with Scripps Health, who are also going to be presenting in here. They run like 3,000 copies in their environment, with XtremIO and AppSync, and like it's all working great. No impact on the performance, and they are meeting their SLS. >> Well, your performance on theCUBE has been outstanding. Back-to-back saves, we appreciate the time. Chhandomay, thanks for hanging with us. Best of luck down the road, and continued success here at the show as well. >> Thank you, it was a pleasure. >> We will continue with more from theCUBE here in Las Vegas. We are live at Dell EMC World 2017.