>> from Austin, Texas. It's Theo Cube, covering pure storage. Accelerate 2019. Brought to you by pure storage. >> Welcome back to the Cube. Lisa Martin Day Volante is my co host were a pure accelerate 2019 in Austin, Texas. A couple of guests joining us. Next. Please welcome Barack elected director product management for slunk. Welcome back to the Cube. Thank you. And guess who's back. Von Stewart. V. P. A. Technology from pure Avon. Welcome back. >> Hey, thanks for having us guys really excited about this topic. >> We are too. All right, so But we'll start with you. Since you're so excited in your nice orange pocket square is peeking out of your jacket there. Talk about the Splunk, your relationship. Long relationship, new offerings, joint value. What's going on? >> Great set up. So Splunk impure have had a long relationship around accelerating customers analytics The speed at which they can get their questions answered the rate at which they could ingest data right to build just more sources. Look at more data, get faster time to take action. However, I shouldn't be leading this conversation because Split Split has released a new architecture, a significant evolution if you will from the traditional Splunk architectural was built off of Daz and a shared nothing architecture. Leveraging replicas, right? Very similar what you'd have with, like, say, in H D. F s Work it load or H c. I. For those who aren't in the analytic space, they've released the new architecture that's disaggregated based off of cashing and an object store construct called Smart Store, which Broth is the product manager for? >> All right, tell us about that. >> So we release a smart for the future as part of spunk Enterprise. $7 to about a near back back in September Timeframe. Really Genesis or Strong Smart Strong goes back to the key customer problem that we were looking to solve. So one of our customers, they're already ingesting a large volume of data, but the need to retain the data for twice, then one of Peter and in today's architecture, what it required was them to kind of lean nearly scale on the amount of hardware. What we realized it. Sooner or later, all customers are going to run into this issue. But if they want in just more data or reading the data for longer periods, of time, they're going to run into this cost ceiling sooner or later on. The challenge is that into this architecture, today's distributes killer dark picture that we have today, which of all, about 10 years back, with the evolution of the Duke in this particular architecture, the computer and story Jacqui located. And because computer storage acqua located, it allows us to process large volumes of data. But if you look at the demand today, we can see that the demand for storage or placing the demand for computer So these are, too to directly opposite trans that we're seeing in the market space. If you need to basically provide performance at scale, there needs to be a better model. They need a better solution than what we had right now. So that's the reason we basically brought Smart store on denounced availability last September. What's Marceau brings to the table is that a D couples computer and storage, So now you can scale storage independent of computers, so if you need more storage or if you need to read in for longer periods of time, you can just kill independent on the storage and with level age, remote object stores like Bill Flash bid to provide that data depository. But most of your active data said still decides locally on the indexers. So what we did was basically broke the paradigm off computer storage location, and we had a small twist. He said that now the computer stories can be the couple, but you bring comfort and stories closer together only on demand. So that means that when you were running a radio, you know, we're running a search, and whenever the data is being looked for that only when we bring the data together. The other key thing that we do is we have an active data set way ensure that the smart store has ah, very powerful cash manager that allows that ensures that the active data set is always very similar to the time when your laptop, the night when your laptop has active data sets always in the cash always on memory. So very similar to that smarts for cash allows you to have active data set always locally on the index. Start your search performance is not impact. >> Yes, this problem of scaling compute and storage independently. You mentioned H. D. F s you saw it early on there. The hyper converged guys have been trying to solve this problem. Um, some of the database guys like snowflakes have solved it in the cloud. But if I understand correctly, you're doing this on Prem. >> So we're doing this board an on Prem as well as in Cloud. So this smart so feature is already available on tramp were also already using a host all off our spun cloud deployments as well. It's available for customers who want obviously deploy spunk on AWS as well. >> Okay, where do you guys fit in? So we >> fit in with customers anywhere from on the hate say this way. But on the small side, at the hundreds of terabytes up into the tens and hundreds of petabytes side. And that's really just kind of shows the pervasiveness of Splunk both through mid market, all the way up through the through the enterprise, every industry and every vertical. So where we come in relative to smart store is we were a coat co developer, a launch partner. And because our object offering Flash Blade is a high performance object store, we are a little bit different than the rest of the Splunk s story partner ecosystem who have invested in slow more of an archive mode of s tree right, we have always been designed and kind of betting on the future would be based on high performance, large scale object. And so we believe smart store is is a ah, perfect example, if you will, of a modern analytics platform. When you look at the architecture with smart store as brush here with you, you want to suffice a majority of your queries out of cash because the performance difference between reading out a cash that let's say, that's NAND based or envy. Emmy based or obtain, if you will. When you fall, you have to go read a data data out of the Objects store, right. You could have a significant performance. Trade off wean mix significantly minimized that performance drop because you're going to a very high bandwith flash blade. We've done comparison test with other other smart store search results have been published in other vendors, white papers and we show Flash blade. When we run the same benchmark is 80 times faster and so what you can now have without architecture is confidence that should you find yourself in a compliance or regulatory issue, something like Maybe GDP are where you've got 72 hours to notify everyone who's been impacted by a breach. Maybe you've got a cybersecurity case where the average time to find that you've been penetrated occurs 206 days after the event. And now you gotta go dig through your old data illegal discovery, you know, questions around, you know, customer purchases, purchases or credit card payments. Any time where you've got to go back in the history, we're gonna deliver those results and order of magnitude faster than any other object store in the market today. That translates from ours. Today's days, two weeks, and we think that falls into our advantage. Almost two >> orders of magnitude. >> Can this be Flash Player >> at 80%? Sorry, Katie. Time 80 x. Yes, that's what I heard. >> Do you display? Consider what flashlight is doing here. An accelerant of spunk, workloads and customer environment. >> Definitely, because the forward with the smart, strong cash way allow high performance at scale for data that's recites locally in the cash. But now, by using a high performance object store like your flash played. Customers can expect the same high performing board when data is in the cash as well as invented sin. Remorseful >> sparks it. Interesting animal. Um, yeah, you have a point before we >> subjects. Well, I don't want to cut you off. It's OK. So I would say commenting on the performance is just part of the equation when you look at that, UM, common operational activities that a splitting, not a storage team. But a Splunk team has to incur right patch management, whether it's at the Splunk software, maybe the operating system, like linen store windows, that spunk is running on, or any of the other components on side on that platform. Patch Management data Re balancing cause it's unequal. Equally distributed, um, hardware refreshes expansion of the cluster. Maybe you need more computer storage. Those operations in terms of time, whether on smart store versus the classic model, are anywhere from 100 to 1000 times faster with smart store so you could have a deployment that, for example, it takes you two weeks to upgrade all the notes, and it gets done in four hours when it's on Smart store. That is material in terms of your operational costs. >> So I was gonna say, Splunk, we've been watching Splunk for a long time. There's our 10th year of doing the Cube, not our 10th anniversary of our 10th year. I think it will be our ninth year of doing dot com. And so we've seen Splunk emerged very cool company like like pure hip hip vibe to it. And back in the day, we talked about big data. Splunk never used that term, really not widely in its marketing. But then when we started to talk about who's gonna own the big data, that space was a cloud era was gonna be mad. We came back. We said, It's gonna be spunk and that's what's happened. Spunk has become a workload, a variety of workloads that has now permeated the organization, started with log files and security kind of kind of cumbersome. But now it's like everywhere. So I wonder if you could talk to the sort of explosion of Splunk in the workloads and what kind of opportunity this provides for you guys. >> So a very good question here, Right? So what we have seen is that spunk has become the de facto platform for all of one structure data as customers start to realize the value of putting their trying to Splunk on the watch. Your spunk is that this is like a huge differentiate of us. Monk is the read only skim on reed which allows you to basically put all of the data without any structure and ask questions on the flight that allows you to kind of do investigations in real time, be more reactive. What's being proactive? We be more proactive. Was being reactive scaleable platform the skills of large data volumes, highly available platform. All of that are the reason why you're seeing an increase that option. We see the same thing with all other customers as well. They start off with one data source with one use case and then very soon they realize the power of Splunk and they start to add additional use cases in just more and more data sources. >> But this no >> scheme on writer you call scheme on Reed has been so problematic for so many big data practitioners because it just became the state of swamp. >> That didn't >> happen with Splunk. Was that because you had very defined use cases obviously security being one or was it with their architectural considerations as well? >> They just architecture, consideration for security and 90 with the initial use cases, with the fact that the scheme on Reid basically gives open subject possibilities for you. Because there's no structure to the data, you can ask questions on the fly on. You can use that to investigate, to troubleshoot and allies and take remedial actions on what's happening. And now, with our new acquisitions, we have added additional capabilities where we can talk, orchestrate the whole Anto and flow with Phantom, right? So a lot of these acquisitions also helping unable the market. >> So we've been talking about TAM expansion all week. We definitely hit it with Charlie pretty hard. I have. You know, I think it's a really important topic. One of things we haven't hit on is tam expansion through partnerships and that flywheel effect. So how do you see the partners ship with Splunk Just in terms of supporting that tam expansion the next 10 years? >> So, uh, analytics, particularly log and Alex have really taken off for us in the last year. As we put more focus on it, we want to double down on our investments as we go through the end of this year and in the next year with with a focus on Splunk um, a zealous other alliances. We think we are in a unique position because the rollout of smart store right customers are always on a different scale in terms of when they want to adopt a new architecture right. It is a significant decision that they have to make. And so we believe between the combination of flash array for the hot tear and flash played for the cold is a nice way for customers with classic Splunk architecture to modernize their platform. Leverage the benefits of data reduction to drive down some of the cost leverage. The benefits of Flash to increase the rate at which they can ask questions and get answers is a nice stepping stone. And when customers are ready because Flash Blade is one of the few storage platforms in the market at this scale out band with optimized for both NFS and object, they can go through a rolling nondestructive upgrade to smart store, have you no investment protection, and if they can't repurpose that flash rate, they can use peers of service to have the flesh raise the hot today and drop it back off just when they're done within tomorrow. >> And what about C for, you know, big workloads, like like big data workloads. I mean, is that a good fit here? You really need to be more performance oriented. >> So flash Blade is is high bandwith optimization, which really is designed for workload. Like Splunk. Where when you have to do a sparse search, right, we'll find that needle in the haystack question, right? Were you breached? Where were you? Briefed. How were you breached? Go read as much data as possible. You've gotta in just all that data, back to the service as fast as you can. And with beast Cloud blocked, Teresi is really optimized it a tear to form of NAND for that secondary. Maybe transactional data base or virtual machines. >> All right, I want more, and then I'm gonna shut up sick. The signal FX acquisition was very interesting to me for a lot of reasons. One was the cloud. The SAS portion of Splunk was late to that game, but now you're sort of making that transition. You saw Tableau you saw Adobe like rip the band Aid Off and it was somewhat painful. But spunk is it. So I wonder. Any advice that you spend Splunk would have toe von as pure as they make that transition to that sass model. >> So I think definitely, I think it's going to be a challenging one, but I think it's a much needed one in there in the environment that we are in. The key thing is to always because two more focus and I'm sure that you're already our customer focus. But the key is key thing is to make sure that any service is up all the time on make sure that you can provide that up time, which is going to be crucial for beating your customers. Elise. >> That's good. That's good guidance. >> You >> just wanted to cover that for you favor of keeping you date. >> So you gave us some of those really impressive stats In terms of performance. >> They're almost too good to be true. >> Well, what's customer feedback? Let's talk about the real world when you're talking to customers about those numbers. What's the reaction? >> So I don't wanna speak for Broth, so I will say in our engagements within their customer base, while we here, particularly from customers of scale. So the larger the environment, the more aggressive they are to say they will adopt smart store right and on a more aggressive scale than the smaller environments. And it's because the benefits of operating and maintaining the indexer cluster are are so great that they'll actually turn to the stores team and say, This is the new architecture I want. This is a new storage platform and again. So when we're talking about patch management, cluster expansion Harbor Refresh. I mean, you're talking for a large sum. Large installs weeks, not two or 3 10 weeks, 12 weeks on end so it can be. You can reduce that down to a couple of days. It changes your your operational paradigm, your staffing. And so it has got high impact. >> So one of the message that we're hearing from customers is that it's far so they get a significant reduction in the infrastructure spent it almost dropped by 2/3. That's really significant file off our large customers for spending a ton of money on infrastructure, so just dropping that by 2/3 is a significant driver to kind of move too smart. Store this in addition to all the other benefits that get smart store with operational simplicity and the ability that it provides. You >> also have customers because of smart store. They can now actually bursts on demand. And so >> you can think of this and kind of two paradigms, right. Instead of >> having to try to avoid some of the operational pain, right, pre purchase and pre provisional large infrastructure and hope you fill it up. They could do it more of a right sides and kind of grow in increments on demand, whether it's storage or compute. That's something that's net new with smart store um, they can also, if they have ah, significant event occur. They can fire up additional indexer notes and search clusters that can either be bare metal v ems or containers. Right Try to, you know, push the flash, too. It's Max. Once they found the answers that they need gotten through. Whatever the urgent issues, they just deep provisionals assets on demand and return back down to a steady state. So it's very flexible, you know, kind of cloud native, agile platform >> on several guys. I wish we had more time. But thank you so much fun. And Deron, for joining David me on the Cube today and sharing all of the innovation that continues to come from this partnership. >> Great to see you appreciate it >> for Dave Volante. I'm Lisa Martin, and you're watching the Cube?

>> From the Amazon Meeting Center, in downtown Seattle, it's theCUBE. Covering Imagine a Better World, a global education conference, sponsored by Amazon Web Services. >> Hey welcome back, everybody, Jeff Frick here with theCUBE. We're in downtown Seattle at AWS Imagine Education. About 900 people from 20 countries really coming together for the first ever AWS summit from public sector group, really focused just on education. We've got a little bit of a twist here, our next guest really coming from more of the artsy side of the house, which is always great to hear from. We've got Linda Drew, she's the Vice Chancellor, and Andy Cook, the Chief Operations Officer, both from Ravensbourne University in London. Welcome. >> We're really pleased >> Thank you. to be here, really excited. >> For the people that aren't familiar with Ravensbourne, give us a little overview of the school. >> We're in the center of London in Greenwich, which is right by the river. We have about two-and-a-half-thousand students and about 250 faculty. We specialize in design, media, and technology, and the interaction, and all that kind of stuff. >> Pretty fun space to be right now. >> Absolutely gorgeous place to be. >> There's so much talk about IT and the tech and IT in operations, but there's so much neat stuff happening really more on the creative side and in the arts. Leveraging technology in all different, new ways. >> Absolutely, it's kind of hand and glove, really. All the innovation that's happening is happening with the way that tech is disrupting what's happening in the creative workspace, and vice versa really. The two things are effecting each other. >> The channels of distribution now, being so open, there's no greater time to be an artist, a creator, because your path to publishing, your path to your audience is really, really short and direct, assuming you can get their attention. >> Absolutely, I think we recognize there's a huge opportunity there for us in terms of developing a competitive advantage in the sector using new, emerging technologies to forge a new path for the institution and help educate and bridge the skills gap for industry. >> What are the things you guys do, one of the classes is broadcast production, and we were talking to all of our guys behind the cameras that nobody can see, and that again is an evolving space and you guys, it's kind of an interesting play, on one hand you're talking about Shakespearian plays, on the other hand you're looking at the newest, latest, greatest way to get that out to consumers, to viewers, to schools, while training the people in the middle with the latest and greatest tools. You guys have started a AWS Elemental Experiment. I wonder if you can give us a little bit of color on that project. >> I can start, and I'll tell you about the impact that it has, and Andy might be able to follow up on some of the technical stuff. We've had a project going with the Royal Shakespeare Company in England, and it's one of their education programs where what we do is a three-way relationship between them, their plays being shot in Stratford-upon-Avon or in London, and one aspect of what happens is that what we do is host the live program that is shot in our TV production studio and jointly the recorded program and the live action is streamed to schools, several hundred schools at a time. Some of our recent shows have been reaching upwards of 85,000 school students at a time. >> 85,000? >> Absolutely. >> That is great reach. We'd been using the more traditional technology before and that was having some issues with school teachers and others that were saying they weren't getting a great service out of the live stream, and our students were a bit frustrated with what they were learning about the streaming technologies. Since having moved to AWS Elemental, that's really increased the satisfaction both of what our students are learning but also in what they're delivering in terms of the live streamed program and because they're streaming more than one thing, because we know that they're also streaming not just the content but also the British sign language. They're also streaming signed content as well. >> Great, great. Andy, you're on the hook for actually getting these systems up and working, right? >> (laughs) Well, I'm not sure about that, but I think Linda said it all, I think the previous stack of technology that we were using in this area were not reliable, we were getting a lot of jump outs with the streams, lots of complaints from our schools. This shift to Elemental has been transformational. Lots of really complimentary feedback from the schools that are taking part in this exercise. It's been really good. >> That's good, the story over and over with cloud basically anything is that the amount of scale and resources and expertise and hardware and software that Amazon can bring to bear on your behalf compared to what you can do on you own, it's just not the same and you're a relatively small school. It's that same scale delta whether it's a medium-size company, a big company, or multi-national. These guys have that massive scale across so many customers, and you get that delivered to your doorstep. >> As you well know, there's a massive shift taking place in the broadcast industry away from the, towards IP-driven technologies, so we see this as a real opportunity to develop our curriculum, add cloud technologies in to our existing courses and go on that journey away from the more traditional technologies to a cloud-based approach. >> I'm just curious if you've adopted cloud stuff in more your standard IT practices, or where are you on that journey? Or was the client satisfaction issue on these broadcasts what accelerated that adoption faster than your normal stuff? >> I think it's been quite closely related, in some ways. It's a bit kind of chicken and egg. We were already looking at ways of enhancing our infrastructure and this kind of stuff came along at the same time, so we just say how quickly can we get to move some of this stuff for our standard operational focus. >> I think most universities are in some sort of hybrid state running on premise services with some, putting their feet gently into the water of cloud technologies, but I think we're looking at really accelerating that journey towards AWS now for our infrastructure. >> I'm curious, were you here for the keynote this morning? >> Yeah, definitely. >> Did you see the Alexa movie with the kids in the dorm room? >> Yeah. >> Really exciting. Very exciting. >> I think one of the slides really sums up our journey and thoughts around working with Amazon. It's the IT transformation piece, then there's a adoption of machine learning in terms of improving the student experience, and then there's adopting cloud courses into our curriculum, so those three areas are really where we're looking to build a relationship with Amazon. >> It's interesting to see what defines this new education experience, because the kids have different expectations, they've all grown up with apps and mobile. To your point on the attention, if something's not working, they're used to flipping to another channel, switching to another input, so if it doesn't work, you only have their attention for a short period of time. I think it is really interesting to rethink what are the actual activities that define this new engagement and this new student experience while they're in your institution, and I thought that was a really pretty slick demo. >> That was a great example, really good demo. Some of the really exciting things that have come out of us adopting this technology thus far includes some students coming to us with ideas of setting up our very own television channel that we can broadcast on campus using this technology and a way of streaming it to students' phones and tablets so that they've got content about the university and it's activities on a regular basis. >> The ROI calculation for you to execute that when it's cloud-based is very, very different, right? >> Absolutely, yes >> It's pretty simple. (all laughing) Just buy a new rack of servers and the whole to-do. I'll give you the last word, what are you hoping to get out of these couple days here, what have you seen so far, any hallway conversations that are really getting your attention? >> Hopefully, not just a deeper relationship with AWS, but the traction to help us work towards innovating on creativity and technology into the future. >> Great. >> Brilliant. >> Andy goes I'm going to go with the Chancellor, smart man. (all laughing) >> Absolutely. >> Linda and Andy, thanks again for taking a few minutes-- >> Thank you very much. >> Absolute pleasure. and hope you enjoy the rest of your time here. >> Thank you. >> (mumbles) thank you. >> She's Linda, he's Andy, I'm Jeff, you're watching theCUBE, we're at AWS Imagine Education in downtown Seattle. Thanks for watching. (electronic tones)

>> Narrator: Live, from Las Vegas, it's theCUBE. Covering Dell Technologies World 2018. Brought to you by Dell EMC and its ecosystem partners. >> Welcome back to theCUBE. Our first day of coverage at Dell Technologies World 2018. I'm Lisa Martin with Keith Townsend. We are joined by a customer of Dell EMC, Fernando Almeida, the head of Infrastucture at Grupo Boticário. Welcome to theCUBE, Fernando. >> Thank you, thank you for invite me. I appreciate it. >> So you've been, as we were talking before we went live, an EMC customer, you're using VMware. This is your first Dell Technologies World, and you picked a big one. 14,000 attendees, loud music. There's a rock band going on there. Just an orientation, for our viewers, of Grupo Boticário. The largest perfume and cosmetics franchise in the world. So it automatically just smelled better when you got onto our side. (Fernando laughs) You guys have a presence in 1750 countries, cities, excuse me, and producing 300 million products every year. With that size of an organization, to be competitive, to offer different shaded products and a superior customer experience, and you think, we've got to transform our business. Where do you start? >> First of all, thank you for inviting me here. I'll talk a little bit about Grupo Boticário. Is a Brazilian company. It's maybe, I think 20,000 employees around the Brazil. Present in 11 countries. I dunno exactly counted but we present in 11 countries. The Grupo Boticário has 4,700 stores around the world. Yes, big, really big. The company is the-- I think is-- We don't have another company. We take companies like us, you know, it's the big one, McDonalds or Avon, no. Boticário is the biggest. The retail company start in 1977. Grupo Boticário is holding, responsible for five brands now: quem disse, berenice?, The Beauty Box, Eudora, and now Vult is the new one. The Grupo Boticário started in 2010, one roading responsible for five brands. It's a great company, a big one. >> Keith: It is big. >> Yeah. >> So, talk to us about some of the challenges being that big, that dispersed. As IT infrascture lead, people look at you to make sure that operation team's going. So talk about some of the pressures as you guys are competing. You really don't, as you say, you don't have a peer. But you have to stay ahead. Talk about some of those pressures of competing on your team. >> The most important, to support this company, we need to stay aware with the technology and they all help us to stay aware with the IT Transformation. My 2018 challenge is change the products, put on IT technology, the most products that they'll have, or other providers. Now when I see-- Do you guys know, see or know something like Butchcar stores, for example. When I go to these stores, we have a lot of lanes to pay. And now, after IT Transformation, we don't have more cashiers, for example. It's like Apple, for example. >> So I can come there and buy a product using my mobile phone. >> Exactly, exactly. This project lead was VMware products, Dell products, EMC legacy products, now Dell technology. I think this is a big project in 2018. >> So let's talk about, you said over 4,000, I think maybe 4700 stores. >> Fernando: Yes, yes. >> So you have a lot of people expecting this seamless, easy experience. Not just the consumers, but also the sales associates in the retail stores. Talk to us about the deployment model. As you needed to evolve IT to support that and allow your company to be competitive, from a technology standpoint, did you look at going from traditional infrastructure to converged, hyper converged? Talk to us about the transformation of your IT infrastructure as an enabler, of your digital transformation. >> Yes, good questions. Before a digital transformation we had, we lost our sales. Because a lot of lanes. >> You had a lot of customers like me, yeah. If there's a long, I can spend two hours shopping, long line-- >> Long line. >> I'm out of there. >> Go to another, you know it's crazy. After meeting with Dell, with VMware, I saw the-- I can't remember the products that I use. Airwatch. >> Keith: Yes. >> Yes, and they show us and it's pretty good to use here. Take care of the big store, to put these products, and I see the difference between a store with a cashier and the store without cashier. The sales grow up like 15%. >> Wow! >> Yeah, yeah. >> That's a dramatic improvement from the business bottom line perspective. >> Because the performance, agility. 15%, just one store. It's amazing. >> That's an amazing story. So Airwatch. VMware, I have to give them more credit. When they bought Airwatch, I can express my head, one billion dollar business. >> Fernando: Airwatch. >> Yeah, one billion dollar business. So it's amazing watching the growth for Airwatch and hearing your story. Can you talk about, you know, Michael Dell talks about Dell Technologies on top of Dell Technologies are best. Let's talk about the back end. Are you guys using some of the products that we saw on stage this morning, VxRail et cetera? >> Yes, yes, yes. We started out using VxRail this year, 2018. In the past, 2017, we changed storage. For example, we had mechanical discs. I can't remember the exact model, but we change for All Flash storage. The performance is pretty good. It's amazing. We put the offline stores, VxRail, Airwatch, all Dell Technology products, you know. Because of this, now we have 20, 25% more performance. It's really good for us. I think this is a big change for us and a big project when I talk about IT Transformation. >> One of the things that we hear often, and especially since the acquisition of the EMC Federation a couple of years ago, is IT leaders want to have seamlessness, simplicity, agility. Those are all keywords everybody needs to have them. But they want to have one stop, a one-stop-shop like Dell Technologies considers themselves. To be able to make digital transformation real. So you were using EMC acquisition, VMware as well. With Dell Technologies, is that allowing you to have this one-stop-shop location and be able to facilitate the transformation to ultimately meet customer demands, that are improving revenue and sales? >> Before the old technology, we have EMC products of course. But now, we have-- When I look at my point of view, the customer point of view, it's better after the change, after the merge, because we have just one company and a lot of products. I just talk to one person to buy a lot of products. It's more easy, it's more closed up (in Portuguese), it's more commitment. I think the portfolio right now is much better than before the merge, EMC with Dell. Now I think is better, much better. >> So let's talk about some of those sales and architecture meetings that you're having with Dell Technologies directly. What's different about that? 'Cause EMC will always come in and say "Oh, we have VMware, we have RSA, we have Pivotal." Unfortunately, they didn't have a server group. They didn't have a desktop group. Much, much bigger organization. One of the fears, is that they would become like their competitors and you'd go talk to a Dell Technologies rep, and there's just too much technology and they wouldn't be able to solution. It doesn't sound like that's been your experience. >> Well, before the merge, we used just EMC storage, only. Because I think, this is my opinion, I think the better products that EMC have in the past, before the merge, is the storage. And now, when I see Dell Technologies have kept the storage, but we have hyper convergence, we have VMware, together with this company. It is one company. For customers, I think it's much better. Just talk to one person like say, a few minutes ago. But, I'd think, when I see my environment in Boticário, I have a lot of challenges in this year because I need to say more. I need to put technology on my stores, to say more. I need to offer, for my final customer, a great product in agility, performance. If we have this, we have more sales, we have more stores. >> One of the things too that I was reading about getting ready for this show, is we're going to hear a lot about digital transformation, IT transformation, data. The volume continues to grow and grow and grow. And we have new technologies, emerging technologies: artificial intelligence, machine learning, IOT. How are you going to be able to leverage all of this data that you have across all of these stores. Data about customers, buying habits and things like that. How are you envisioning, in the future, leveraging emerging technologies to be able to, like you said, increase the number of stores, increase sales, and ultimately delight your customers? >> It's a surprise. (Keith laughs) I can't talk about it. >> Lisa: (laughs) Oh! >> It's really a surprise but you know, we have a great challenge when I think artificial intelligence and the other products, hyper convergence, block chain for example, but, it's a secret. I can't talk. >> It is a tough challenge. We hear the buzz words. I think I agree that it is a competitive advantage that I can take the stuff, stitch it together, and come up with a solution that's acting competitive and helps you to outsell your competition. So, I can appreciate that. Just one quick question about speeds and fees. A global company, a lot of data as you sell a lot more data. Michael said as you grow, the data grows, that you enable better use of the data. It feeds upon itself. What are the building blocks of your data platform? What technologies specifically are you using within Dell's storage portfolio? >> We use Airwatch, like I said. We use all-flash platforms. We use a lot of products, man. >> You're also using some BI-- >> VxRail, Isilon 2. Now we use Isilon 4 to support the stores. Of course, the most important to support the stores is all-flash storages and Airwatch. >> To sum up, you've already made big improvements to sales, to the customer in-store experience, to performance internally, as you mentioned switching to All-Flash Array. So you're well on your way in this digital transformation. We won't ask you any more questions about the secret sauce of using emerging technologies, but we look forward to hearing, maybe next year, what you're doing there to delight your customers. And we want to thank you for stopping by theCUBE, Fernando. >> I appreciate it, thank you. >> And you've been watching theCUBE. We want to thank you, as well. We are live, day one of Dell Technologies World 2018. I'm Lisa Martin, with my co-host Keith Townsend. Stick around, we'll be right back after a short break.