>>My name is Dave Volonte, and with me are two world class technologists, visionaries and entrepreneurs. And Wa Dodgeville is the he co founded Snowflake, and he's now the president of the product division. And Florian Duetto is the co founder and CEO of Data Aiko. Gentlemen, welcome to the Cube to first timers. Love it. >>Great to be here >>now, Florian you and Ben Wa You have a number of customers in common. And I have said many times on the Cube that you know, the first era of cloud was really about infrastructure, making it more agile, taking out costs. And the next generation of innovation is really coming from the application of machine intelligence to data with the cloud is really the scale platform. So is that premise your relevant to you? Do you buy that? And and why do you think snowflake and data ICU make a good match for customers? >>I think that because it's our values that are aligned when it's all about actually today allowing complexity for customers. So you close the gap or the democratizing access to data access to technology. It's not only about data data is important, but it's also about the impact of data. Who can you make the best out of data as fast as possible as easily as possible within an organization. And another value is about just the openness of the platform building the future together? Uh, I think a platform that is not just about the platform but also full ecosystem of partners around it, bringing the level off accessibility and flexibility you need for the 10 years away. >>Yeah, so that's key. But it's not just data. It's turning data into insights. Have been why you came out of the world of very powerful but highly complex databases. And we know we all know that you and the snowflake team you get very high marks for really radically simplifying customers lives. But can you talk specifically about the types of challenges that your customers air using snowflake to solve? >>Yeah, so So the really the challenge, you know, be four. Snowflake. I would say waas really? To put all the data, you know, in one place and run all the computers, all the workloads that you wanted to run, You know, against that data and off course, you know, existing legacy platforms. We're not able to support. You know that level of concurrency, Many workload. You know, we we talk about machine learning that a science that are engendering, you know, that our house big data were closed or running in one place didn't make sense at all. And therefore, you know what customers did is to create silos, silos of data everywhere, you know, with different system having a subset of the data. And of course, now you cannot analyze this data in one place. So, snowflake, we really solve that problem by creating a single, you know, architectural where you can put all the data in the cloud. So it's a really cloud native we really thought about You know how to solve that problem, how to create, you know, leverage, Cloud and the lessee cc off cloud to really put all the die in one place, but at the same time not run all workload at the same place. So each workload that runs in Snowflake that is dedicated, You know, computer resource is to run, and that makes it very Ajai, right? You know, Floyd and talk about, you know, data scientists having to run analysis, so they need you know a lot of compute resources, but only for, you know, a few hours on. Do you know, with snowflake they can run these new work lord at this workload to the system, get the compute resources that they need to run this workload. And when it's over, they can shut down. You know that their system, it will be automatically shut down. Therefore, they would not pay for the resources that they don't use. So it's a very Ajai system where you can do this, analyzes when you need, and you have all the power to run all this workload at the same time. >>Well, it's profound what you guys built to me. I mean, of course, everybody's trying to copy it now. It was like, remember that bringing the notion of bringing compute to the data and the Hadoop days, and I think that that Asai say everybody is sort of following your suit now are trying to Florian I gotta say the first data scientist I ever interviewed on the Cube was amazing. Hilary Mason, right after she started a bit Lee. And, you know, she made data science that sounds so compelling. But data science is hard. So same same question for you. What do you see is the biggest challenges for customers that they're facing with data science. >>The biggest challenge, from my perspective, is that owns you solve the issue of the data. Seidel with snowflake, you don't want to bring another Seidel, which would be a side off skills. Essentially, there is to the talent gap between the talented label of the market, or are it is to actually find recruits trained data scientist on what needs to be done. And so you need actually to simplify the access to technologies such as every organization can make it, whatever the talent, by bridging that gap and to get there, there is a need of actually breaking up the silos. And in a collaborative approach where technologists and business work together and actually put some their hands into those data projects together, >>it makes sense for flooring. Let's stay with you for a minute. If I can your observation spaces, you know it's pretty, pretty global, and and so you have a unique perspective on how companies around the world might be using data and data science. Are you seeing any trends may be differences between regions or maybe within different industries. What are you seeing? >>Yes. Yeah, definitely. I do see trends that are not geographic that much, but much more in terms of maturity of certain industries and certain sectors, which are that certain industries invested a lot in terms of data, data access, ability to start data in the last few years and no age, a level of maturity where they can invest more and get to the next steps. And it's really rely on the ability of certain medial certain organization actually to have built this long term strategy a few years ago and no start raping up the benefits. >>You know, a decade ago, Florian Hal Varian, we, you know, famously said that the sexy job in the next 10 years will be statisticians. And then everybody sort of change that to data scientists and then everybody. All the statisticians became data scientists, and they got a raise. But data science requires more than just statistics acumen. What what skills >>do >>you see as critical for the next generation of data science? >>Yeah, it's a good question because I think the first generation of the patient is became the licenses because they could done some pipe and quickly on be flexible. And I think that the skills or the next generation of data sentences will definitely be different. It will be first about being able to speak the language of the business, meaning, oh, you translate data inside predictive modeling all of this into actionable insight or business impact. And it would be about you collaborate with the rest of the business. It's not just a farce. You can build something off fast. You can do a notebook in python or your credit models off themselves. It's about, oh, you actually build this bridge with the business. And obviously those things are important. But we also has become the center of the fact that technology will evolve in the future. There will be new tools and technologies, and they will still need to keep this level of flexibility and get to understand quickly, quickly. What are the next tools they need to use the new languages or whatever to get there. >>As you look back on 2020 what are you thinking? What are you telling people as we head into next year? >>Yeah, I I think it's Zaveri interesting, right? We did this crisis, as has told us that the world really can change from one day to the next. And this has, you know, dramatic, you know, and perform the, you know, aspect. For example, companies all the sudden, you know, So their revenue line, you know, dropping. And they had to do less meat data. Some of the companies was the reverse, right? All the sudden, you know, they were online, like in stock out, for example, and their business, you know, completely, you know, change, you know, from one day to the other. So this GT off, You know, I, you know, adjusting the resource is that you have tow the task a need that can change, you know, using solution like snowflakes, you know, really has that. And we saw, you know, both in in our customers some customers from one day to the to do the next where, you know, growing like big time because they benefited, you know, from from from from co vid and their business benefited, but also, as you know, had to drop. And what is nice with with with cloud, it allows to, you know, I just compute resources toe, you know, to your business needs, you know, and really adjusted, you know, in our, uh, the the other aspect is is understanding what is happening, right? You need to analyze the we saw all these all our customers basically wanted to understand. What is that going to be the impact on my business? How can I adapt? How can I adjust? And and for that, they needed to analyze data. And, of course, a lot of data which are not necessarily data about, you know, their business, but also data from the outside. You know, for example, coffee data, You know, where is the States? You know, what is the impact? You know, geographic impact from covitz, You know, all the time and access to this data is critical. So this is, you know, the promise off the data crowd, right? You know, having one single place where you can put all the data off the world. So our customers, all the Children you know, started to consume the cov data from our that our marketplace and and we had the literally thousands of customers looking at this data analyzing this data, uh, to make good decisions So this agility and and and this, you know, adapt adapting, you know, from from one hour to the next is really critical. And that goes, you know, with data with crowding adjusting, resource is on and that's, you know, doesn't exist on premise. So So So indeed, I think the lesson learned is is we are living in a world which machines changing all the time and we have for understanding We have to adjust and and And that's why cloud, you know, somewhere it's great. >>Excellent. Thank you. You know the kid we like to talk about disruption, of course. Who doesn't on And also, I mean, you look at a I and and the impact that is beginning to have and kind of pre co vid. You look at some of the industries that were getting disrupted by, you know, we talked about digital transformation and you had on the one end of the spectrum industries like publishing which are highly disrupted or taxis. And you could say Okay, well, that's, you know, bits versus Adam, the old Negroponte thing. But then the flip side of that look at financial services that hadn't been dramatically disrupted. Certainly healthcare, which is ripe for disruption Defense. So the number number of industries that really hadn't leaned into digital transformation If it ain't broke, don't fix it. Not on my watch. There was this complacency and then, >>of >>course, co vid broke everything. So, florian, I wonder if you could comment? You know what industry or industries do you think you're gonna be most impacted by data science and what I call machine intelligence or a I in the coming years and decades? >>Honestly, I think it's all of them artist, most of them because for some industries, the impact is very visible because we're talking about brand new products, drones like cars or whatever that are very visible for us. But for others, we are talking about sport from changes in the way you operate as an organization, even if financial industry itself doesn't seems to be so impacted when you look it from the consumer side or the outside. In fact, internally, it's probably impacted just because the way you use data on developer for flexibility, you need the kind off cost gay you can get by leveraging the latest technologies is just enormous, and so it will actually transform the industry that also and overall, I think that 2020 is only a where, from the perspective of a I and analytics, we understood this idea of maturity and resilience, maturity, meaning that when you've got a crisis, you actually need data and ai more than before. You need to actually call the people from data in the room to take better decisions and look for a while and not background. And I think that's a very important learning from 2020 that will tell things about 2021 and the resilience it's like, Yeah, Data Analytics today is a function consuming every industries and is so important that it's something that needs to work. So the infrastructure is to work in frustration in super resilient. So probably not on prime on a fully and prime at some point and the kind of residence where you need to be able to plan for literally anything like no hypothesis in terms of behaviors can be taken for granted. And that's something that is new and which is just signaling that we're just getting to the next step for the analytics. >>I wonder, Benoit, if you have anything to add to that. I mean, I often wonder, you know, winter machine's gonna be able to make better diagnoses than doctors. Some people say already, you know? Well, the financial services traditional banks lose control of payment systems. Uh, you know what's gonna happen to big retail stores? I mean, maybe bring us home with maybe some of your final thoughts. >>Yeah, I would say, you know, I I don't see that as a negative, right? The human being will always be involved very closely, but the machine and the data can really have, you know, see, Coalition, you know, in the data that that would be impossible for for for human being alone, you know, you know, to to discover so So I think it's going to be a compliment, not a replacement on. Do you know everything that has made us you know faster, you know, doesn't mean that that we have less work to do. It means that we can doom or and and we have so much, you know, to do, uh, that that I would not be worried about, You know, the effect off being more efficient and and and better at at our you know, work. And indeed, you know, I fundamentally think that that data, you know, processing off images and doing, you know, I ai on on on these images and discovering, you know, patterns and and potentially flagging, you know, disease, where all year that then it was possible is going toe have a huge impact in in health care, Onda and And as as as Ryan was saying, every you know, every industry is going to be impacted by by that technology. So So, yeah, I'm very optimistic. >>Great guys. I wish we had more time. I gotta leave it there. But so thanks so much for coming on. The Cube was really a pleasure having you.

>>long from Las Vegas. It's the Q covering a ws re invent 2019. Brought to you by Amazon Web service is and in along with its ecosystem partners. >>Welcome back to the Cube. Lisa Martin live on the show floor of AWS. A re in that 19 was stupid. And then this is the almost the end of our second day of coverage. And as we were just saying, There's more people in here now than there were probably a couple of hours ago. 65,000 or so folks that AWS is expecting here and I think they're all in the Expo Hall now. Sue and I are pleased to welcome from Amazon business. David Stout, the head of global alliances and partnerships. Stephen, welcome to the Cube. >>Thanks so much for having me excited because this afternoon, >>so everybody on the planet knows amazon dot com. It has transformed our lives. I also think that it's transformed us as consumers and put pressure on any business, be able to deliver to us what we want whenever way wanted >>everybody. This week's getting alerts on their phones of package deliveries. >>Yes, that's why you one of the best parts of your day is when that Amazon package shows up and it's so fast. I always forget what's really order. Hope is for me. But I'd love for you to share with our audience what Amazon businesses. >>So obviously, you just said we all know about Amazon. We'll know about eight of us, right? 65,000 people here this week. Amazon businesses, a group that's been around since 2015 and we're focusing specifically on the needs to procure it needs of business and institutional customers. >>So the big theme that we heard from Andy Jassy was talking about transformation. We can't incrementally change the environment, so tell us a little bit what happens in your space and how that ties in tow, those transformations a couple things. So so one we like. I >>said, we start in 2015 focusing on both private and public sector customers, and what we're really trying to focus on is that experience you talked about For consumers taking that same ease of use and experience to the business world, corporate chairman is really hard and cumbersome. There's a lot of tools that need to be in used, and so we're trying to drive that same ease of use into the corporate and public sector world as well. So one of things that we've done way launched 2015. As I said, way don't share a lot of details. But we did about a year ago announced that we're on about a $10 billion annualized run rate. We're in nine countries around the world so outside the United States were also live in Germany, United Kingdom, France, Italy, Germany, Spain, India, France, Sorry, India, Japan and just announced last month in Canada. So it's, ah, fast growing business and we continue to try to find ways our customers are great to give us feedback on how we can continue to innovate to serve their needs. >>Yeah, you know, it's funny. I have some history, my career, working with procurement organizations, and change is not something I hear from them. When I think of public sector, it's like, Well, it's on the G s, a contract negotiated from the years when you go to companies and you say, Hey, we've got the new product. Oh, well, I got to go through the procurement cycle to get that through these environments. So how do we make sure that companies can take the innovation, you know, be agile and, you know, take advantage of these things now from a human standpoint, yes. So there's >>a couple things. So one this week you're here in a town about digital transformation, right? Something that isn't an event. It's an ongoing evolution, one of things you know, We've been coming to to reinvent for four years now, and what we're seeing and continually saying, is that there's a convergence between the I T strategies and the procurement strategies. A lot of that is happening through technology and enabling a new technology. But it za super interesting observation for us sitting on the sidelines and helping drive some of that innovation for customers. >>The rule of the chief procurement officer has changed a lot in recent years alone. Where this rose. You're saying there's this now convergence with I T. But the CPO has a much bigger opportunity now to become much more of a strategic driver of business, whether it's evaluating supply chain management and looking for ways to streamline operations. Big shift from the financial perspective, Dr Spell some of the things that Amazon business is seeing in your customers and how it is enabling those two sides the I t folks on the procurement folks to come together so that what they're enabling is that digital business transfer. >>Yeah, absolutely so historically procurement teams up CPS and their teams were responsible for very traditional things. Sourcing contract management, risk management, supplier on boarding and off, boarding compliance with you to your point earlier still on regulations and is it on a schedule or not? Those >>are all >>still really important attributes and will continue to be a huge focus areas for those organizations. But I think with the advent of technology, what you're starting to see is a lot more focus on how to use artificial intelligence. How do we use our P? A. How do we use use machine learning to find new opportunities to Dr Efficiencies within those operations? And so I think because of that, what you're starting to see is a lot more harmonization between what see peos are thinking about. The strategy is employing and the c i ose and we're releasing a convergence between those two organizations. Republished. Amazon Business published an article with Procure Con a couple months ago. One of the findings that came out of that study was that there is a convergence happening. Over 55% of the respondents said that their goals are either fully aligned or mostly align with the goals of of the C. I. A. Organization. So we're works pretty excited about that happening. We think that we're gonna be helping customers continue to drive that collaboration and for forward thinking organizations that are trying to drive more technology way believe it's gonna be a requirement in essential. >>That's awesome. It aligns with some of the broader trends we've been seeing in cloud adoption overall, it can't be. I t in the business separately, doing their things. Help us understand how this movement forward translates into innovation for for customers. Yeah, >>so a couple things come to mind, um, eight of us things number things happening here. Eight abyss yesterday, oftentimes is sorry. Oftentimes eight of us is considered as a starter for when you think about digital transformation and cloud transformation. Um, pace of that evolution is amazing, right? Yesterday there were 14 press releases issued on new technologies and capabilities that AWS is delivering directly or through partners and I think those types of things we're helping drive that pace of evolution we talked about earlier. One of the things that I found really interesting is eight of us as a partner network. It's very mature. There's tens of thousands of partners. They launched it in 2013 and it's a huge portion of their business and growth. Amazon business is much younger in our in our maturity on we're just starting to Launch a partner network. One of things were really interested in is how do we work with third party organizations, and my team's responsible for really extending the range and reach of our traditional sales, marketing and service's channels by working with third parties. Those take the forms of primarily software companies. So you see Air P organizations, a procurement platforms and accounting expense management platforms is examples there and in the infrastructure providers that leverage that. So Octa eyes an identity management provider, their sponsor of reinvent this year they're our partner of Amazon business, and we've built a pre configured integration that will allow Octa customers that you're using a single sign of product to access the Amazon business, uh, store easily and within the controls that they've established >>it. Actually, we just had Dave McCann from the eight of us Marketplace on the program earlier, and we've watched the evolution in maturation of marketplace. How does that tie underworld allowing? Really? You know, I I've been going for years. It is close, is what we have to the enterprise app store there. So how does this play into your s? So, you know, I think there's gonna continue to be >>convergence between Amazon business in AWS overtime in the marketplace, we offer kind of a goods marketplace. They offer a software marketplace in a service marketplace. And so I think we're still working on how do we harmonize that experience better. And we've got a lot of work to do there. We have a saying in Amazon that it's always Day one, and that's a great example where we still have a lot of work to do. One >>of the >>things that is another one of our partners, Cooper, which is procure to pay platform and a long time Amazon business partner we've done some pretty creative things to improve the user experience and make it easier for customers is both Cooper and Amazon business and concert Together announced couple months ago. They've built an integration to the eight of US marketplace. And so that's a pretty exciting opportunity where people who are provisioning service is via a theatre. Best marketplace gonna have transaction, flows seamlessly into their, procured up a solution and let you know the user whose provisioning that focus on what they want to do, which is developing new solutions to serve customers. >>Yeah, Cooper is one of our cube clients. I was just covering their event Cooper London just a few weeks ago. One of the things that's interesting about them, and I'd love to get your feedback on the is their community is really massively influential in their technology, and I presume in terms of the partnerships that they forge and as really catalysts for that procurement role being so strategic to the business. Talk to us about some of the customers that you are working with, and there's third party folks as well. How are the influencing the road map of Amazon business? >>Yeah, so our customers are never shy to tell >>us that's a >>pretty right, and that's one of the things that we've been able to grow so quickly, right? So we have. We've segmented our business into four verticals who focus on health care, education, government and then commercial, which is our largest segment. We have custom invites your boards from each one of those segments and those air very intimate working sessions with everyone from micro customers up to Fortune 100 customers that are never shy, as I said to provide feedback on what we need to do better. I was with a client last week who and one of our partners who It was great to hear them say way. They just have been a at a customer advisory board. And we love the fact that those features we suggested to you 12 months ago are now in production. And so it's a huge part of what we do. It's a huge part of what drives our road map. Wey have probably the most sophisticated voice of customer feedback monitoring systems that I've seen, and that includes everything from, you know, our sales professionals talk to customers and log that feedback on future requests to monitoring social feeds to understanding what our customers want. So it's ah, it's a big part of what we do and how we do it. And I think it's one of the things that makes Amazon a really differentiated company business overall. >>All right. So, David, I think most people not only did the no Amazon, but many of them, including disclaimer myself, our Amazon prime customers. You'll have something called Business Prime. Maybe explain a little bit what that is. S >>O. So most of us are prime members as consumers, and there's a number of features to come with that. There's a shipping program, which is where it started, and then we've had a different solutions. Whether it's music or video, there are storage. Amazon business has the same philosophy. And so right now there are. We have a business prime shipping program, which was launched two years ago. We also have a other business prime offerings, including advanced analytics. So within Amazon business, them's on business portal. You can actually look at spend categorization, and we've got some pretty powerful data visualization capabilities, its prime benefit, and we have a pretty extensive road map for other features that are going to continue to come. We have financing vehicles that are tied to it already, and there's there's a lot on the road mouth. >>Well, if you need two more business videos for your business, prime customers, give us a call. We have a large library with Amazon for >>that year for seeing that, you know, >>let's talk about security. It is a fundamental component of any organization because there is so much data and we're only generating more and more and more businesses need to ensure that how they're transacting with any organization and that their data is managed in a secure way. What are some of the fundamental elements of Amazon business that you guys have built into the technology to delay liver that security for your business customers? >>First of all, we're built fully on AWS, as you'd expect, and so there's There's a >>happy about that, by the way. >>So there's there's that's that's just a safety feature that I think it gives most of his comfort. I think back to this kind of notion of convergence of I t and procurement. This is something I find really interesting. And so, um, this prick your con article I mentioned a few minutes ago one of the findings and that was that 70% of organ of respondents said that their security strategy is shared jointly between their i t and the procurement teams. And so obviously security here it reinvent you walked the expo floor. There is an entire row of things that are focused on security and how to continue to drive that within the cloud in an efficient way. This whole concept of I t and procurement coming together share objectives. I think that's a great example where it's already happening, and we continue to expect that it will happen in more detail. >>What are some of the things that surprised you most about the last day and 1/2 with all the announcements that folks understanding more about Amazon business, some of the feedback that you've gotten on the show floor or in customer meetings that the kind of highlight? Yeah, we're doing the right thing. Here >>S o. I think >>for it's always humbling when people don't know about us, right, Asai said. We've built a pretty big business, but it's still really, really early on dso It's to me that's a great opportunity that we can continue to be more to educate customers about the opportunity and how Amazon can help transform their procurement practices. It's still super release, so we're always wanting to hear that feedback. And what else could we d'oh For customers that are aware of us? What's been really also humbling is how much they're finding us to be a bigger and bigger portion of their strategic vision in the future. And so we're really excited about that on both fronts, right? The opportunity to Maur, but also that customers who are adopting us or seeing great opportunities to consolidate their suppliers Dr Greater Efficiencies and, most importantly, provide a better end user experience that they're used to from their home. Purchasing >>of this last question for you Looking at the vertical focus that you guys are taking, you mentioned the verticals, any of them in particular that are really kind of leading the way here. For that I t procurement strategic collaboration. You mentioned healthcare, commercial, anything that you really see as early adopters leading edge. >>So we actually see there's probably some some nuances between each vertical, but we've seen some great adoption across all for those vertical. So we have 55 of the Fortune 100 as customers. We have 80% of the largest educational institutions in the U. S. Is customers. We have a greater than 50% of the largest health systems in the U. S. Is customers already and greater than 40% of the largest municipalities in United States. So so we've seen some really great adoption across all four segments. Again, I think the needs of a small dentist's office are gonna be different than the needs of industrial manufacturing organization. And so we continue to find solution sets with little dress, the needs of each one of those customers. We have strategic teams that are focused specifically on the segments and how to solve them. And as I said before, customers will always tell us what we could do better at >>that. Really, >>What drives our innovation >>and where can folks go? Business owners small enlarged to learn more about Amazon business >>amazon dot com slash business >>Easy, David. Thank you for joining student on a program and sharing with us What Amazon business as we appreciate it. >>Very welcome. Thanks for having me. >>Alright. First the Minutemen. I'm Lisa Martin and you're watching the Cube from Day two of our coverage of aws reinvent 19 from Vegas signing off. Thanks for watching

>> live from San Francisco celebrating 10 years of high tech coverage. It's the Cube covering Veum World 2019 brought to you by IBM wear and its ecosystem partners. >> Well, good afternoon. And welcome back to San Francisco. Where Mosconi north along with David Dante, John Wall's You're watching our coverage here. Live on the Cuba Veum world. 2019 days. I've been over on the other set. I know you've been busy on this side as well. Show going. All right for you >> so far. Yeah, A lot of action going on over here. We had a pact Hellsing on this morning, Michael Dell, with this VM wear hat, we get Sanjay Putin downtown later. >> Yeah, yeah. Good light up. And that lineup continues. Great. Use the CEO Veritas. >> Great to be here. Very John, >> actually, just outside the Veritas Meadow here. Sponsored the this area. This is the meadow set. That >> nice to be here? Yeah, I didn't know >> that. All right, just first off, just give me your your idea of the vibe here. What you are. You're feeling >> what? I think there's a tremendous amount of energy. It's been a lot of fun to be here Obviously VM was talking about this hybrid multi cloud world, and Veritas is 100% supportive of that vision. We work with all the major cloud service providers, you know, eight of us. Google. Microsoft is or we share thousands of customers with the M, where some of the biggest customers, the most complicated customers in the world, where we provide availability and protection and insights for those customers has always >> been the ethos of veritas. When you go back to the early days of Veritas, essentially, it was the storage management, you know, the no hardware agenda, the sort of independent storage company, but pure software. >> That sounds. You >> know, years ago there was no cloud, but there were different platforms, and so that that that that culture has really migrated now into this multi cloud work world. Your thoughts on that >> absolutely look, you know, I'll give an example of a customer that we worked with closely with VM wear on, and that is Renault. America's Renault is Ah, big joint venture. They've got a huge ASAP installation 8000 users 40 terabytes, Big Net backup customer. They also use their products in for a scale and V. R P for availability and D r. And they work with us because we are hardware agnostic. They looked at us against the other competitors, and we're hardware agnostic. And because of that where we came in its 60% lower TCO than those other providers. So we that hardware agnostic approach works really well. You were >> Just touch it on this great little bit when you said, You know whether Tiger, whether it's multi, whether it's private, whatever it is, you know we're here to provide solutions. The fact that this stuff is hard to figure out and really kind of boggle the mind a bit, it's very complex. Um, how much of an inhibitor is that? In terms of what you're hearing from clients and in terms of their progress and and their decision making >> well, let me explain where we sit. And we are the leader in enterprise data protection, availability and insights. We work with the largest, most complex, most high route, highly regulated and most demanding customers on the planet. 99 of the Fortune 100 are customers of Veritas. 10 of the top 10 tell coast 10 of the top 10 healthcare companies and 10 of the top 10 financial institutions. I spend about 50% of my time talking to these customers, so we learn a lot. And here the four big challenges they're facing first is the explosion of data. Data is just growing so fast, Gardner estimates will be 175 Zita bytes of data in 2025. If you cram that in, iPhones will take 2.6 trillion iPhones and go to the sun and back, right? It's an enormous amount of data. Second, they're worried about Ransomware. It's not a question off if you'll be attacked. It's when you'll be attacked. Look at what's happening in Texas right now with the 22 municipalities dealing with that. What you want in that case is a resilient infrastructure. You wanna be terrible to restore from a really good backup copy of data. Third, they want the hybrid multi cloud world, just like Pak Gil Singer has been talking about. That's what customers want, but they want to be able to protect their data wherever it is, make it highly available and get insights in the data wherever it's located. And then finally, they're dealing with this massive growth in government regulations around the world because of this concern about privacy. I was in Australia a few weeks ago and one of our customers she was telling me that she deals with 27 different regulatory environments. Another customer was saying the California Privacy Act will be the death of him. And he's based in St Louis, right? So our strategy is focused on taking away the complexity and helping the largest companies in the world deal with these challenges. And that's why we introduce the enterprise. Data Service is platform, and that's why we're here. VM world Talking >> about Greg. Let's unpack some of those, Asai said. Veritas kind of created a market way back when and now you see come full circle, you got multi cloud. You have a lot of new entrance talking about data management. That's it's always been your play, but you came to the king of the Hell's. Everybody wants a piece of your hide, so that's kind of interesting, But but data growth. So let's let's start there. So it used to be data was, ah, liability. Now it's becoming an asset. So what? What your customers saying about sort of data is something that needs to be managed, needs to be done cost effectively and efficiently versus getting more value on data. And what's Veritas is sort of perspective. >> They're really trying to get insights in their data. Okay. And, uh, that's why we acquired a company called Apt Are. So when I This is my second time of Veritas. I was here from 2003 to 2010 rejoined the company of 2018. I talked to a lot of customers. I've found that their infrastructure was so complex that storage infrastructure so complex the companies were having a hard time figuring out anything about their data. So they're having the hardest time just answering some fundamental questions that boards were asking. Boards are saying because of the ransomware threat. Is all our data protected? Is it backed up? Are all our applications backed up and protected and customers could not answer that question. On the other hand, they also were backing up some data 678 times wasting storage. What apt are does, and it's really amazing. I recommend seeing a demo of that. If you get a chance, it pulls information from Santa raise network file systems, virtual machines, uh, san networking and all data protection applications to get a complete picture of what's happening with your data. And that is one example off what customers really want. >> Okay, so then that kind of leads to the second point, which is ransomware now. Part of part of that is analytics and understanding what's going on in the system as well. So but it's a relatively new concept, right? And ransom. Where is the last couple of years? We've really started to see it escalate. How does Veritas help address that problem? And does apt our play a role there? >> Well, Veritas, it just helps it. Cos address that problem because veritas helps create a resilient infrastructure. Okay, the bad guys are going to get in spear. Phishing works. You know, you you are going to find some employees were gonna click on a link, and the malware is going to get in so all you can do to protect you ultimately have tohave a good backup copies so you can restore at scale and quickly. And so there's been a lot of focus from these large enterprises on restoring at scale very quickly after ransom or attack, it's you're not beholden. You can't be extorted by the ransom or >> the third piece was hybrid. And of course, that leads to a kind of hybrid multi cloud. Let's let's put that category out there now. I've been kind of skeptical on hybrid multi cloud from an application perspective in other words, the vision that you can run any app anywhere in the world without having a retest Rica pile. I've been skeptical that, but the one area that I'm not skeptical and the courage with is data protection because I think actually, you can have a consistent data protection model across your on Prem different on prams, different clouds, because you know you're partnering with all the different cloud cos you obviously have expertise in on premise. So so talk about your approach, their philosophy and maybe any offering. >> Well, this is really what sets us apart. We have been around for 25 years, 2000 patents. We protect everything. 500 different sources of data 150 different targets, 60 different cloud service providers, you know, we compete with two categories of players. We compete with the newcomers, and they only they will only protect your most current technology. They don't go back. We've been around for 25 years. We protect everything, right? We also can't compete with the conglomerates, Okay? In their case, they're not focused. They're trying to do everything. All we do is availability, protection and insights. And that's why we've been in Gardner M Q 13 times and where the market share leader also absolutely >> touch me. Someone Dave was saying about the application side of this. I mean, just your thoughts about, you know, the kinds of concerns the day raises. I mean, it is not alone in that respect. I mean, there are general concerns here, right about whether that that'll fly. What do you think? In terms, >> I think the vision is spot on and like, oh, visions, it takes a while to get to. But I think what VM wears done recently in the acquisition, there've been basically trying to make the control plane for compute okay, and their acquisition of carbon, black and pivotal add to that control plane we're gonna be We are the control plane for data protection. I mean, that's that's the way our customers rely on, >> but that makes sense to me. So I think I feel like the multi cloud vision is very aspirational today, and I think it's gonna be really hard to get there without homogeneous infrastructure. And that's why you see things like Outpost to see the Oracle has clouded customer. You've got Azure Stack. So and I think it's gonna be a multi vendor world. However I do think is it relates the data protection you can set a standard and safe. We were going to standardize on Veritas. So one of us So I think that it's it's achievable. So that was my point there. The last one was was regulations. Do you think GDP are will be a sort of a framework globally body of customers seeing there? >> Well, they're dealing with more than GDP are like I talked about that one customer, 27 different regulatory environments and the challenge there is. How do you deal with that when you don't know what you have in terms of data, the 50% of data is what we call dark data. You don't know anything about right, so you need help classifying it, understanding and getting insight into that data, and that's what we can help >> our customers. But howdy, howdy, dildo. In that environment, I mean, I mean, a day raises the point. This is obvious. A swell that mean you cite California right, which is somewhat infamous for its own regulatory mindset. I mean, how do you exist? What? The United States has privacy concerns and Congress can address it, and various federal agencies could do the same Europe. Obviously we talked about now Australia. Now here. Now there you get this Balkan I system that has no consistency, no framework. And so how do you operate on a global scale? >> A. Mentally. It relies on classifying that data right. Understanding what's where and what do you have is a P I. I personally identifiable information. Is it information that's intellectual property? What kind of data you have once you have that insight, which is what we provide, you can layer on top of the regulatory Is that compliance? >> Star I P. Is that Veritas i p. A blender? >> It's a blend of avatar and veritas I p. We have a product called Info Studio that helps toe provide that now Remember one of the things that are net backup product has is a catalogue of data. So we know where the data is primary to secondary storage, and we have all the versions of that data. And then we can run analytics against the secondary storage and not hit the primary systems. Right? So we're out of band to the primary systems, and that turns out to be very valuable in the state's a >> question. The catalog. I can't do this without a catalogue in the enough to geek out here a little bit, but but you've got a little bit when you bring in multi clouds. Other clouds. How do you incorporate you know that knowledge into your catalog? >> Yeah. Art, art, technology work Idol of works across multiple clouds. So we work with 60 different Cloud service providers. There's three big ones represented here today. Microsoft, AWS and Google. We work very closely with all three, and >> that's because you do the engineering at the A P. I level. Our engineering teams work very, very closely together. Okay, um, so let's talk about competition a little bit. The markets heated up. It's great. It's good to see all this VC money floating in. Everybody I said wants a piece of your hide. Why Veritas? >> Well, I explained that, you know, we are the leader in enterprise, data protection, availability and insights. There are some newcomers. They just will support you on your current technology. They don't support the infrastructure you've had for many years. If your large complicated enterprise you have layers of technology, we support all that with VIN amount for 25 years against, the big conglomerates were completely focused. And that's why we're the leader, according to Gartner, in the Leader's Quadrant 13 years >> now. And just as we close up you talked about, you brought up the case in Texas, about 22 municipalities. You do a lot of public sector work states, federal government ever. It's just what is the difference of different animal between public and private and and what you need to do in terms of providing that >> we're struggling with the same challenge. In fact, we work with some of the largest government agencies in the world, and they're struggling with exactly the same challenge. They also want leverage the public cloud. They're worried about ransom where you know they're dealing with data growth. All of these are challenges to them. And that's the, uh So these are common challenges we're addressing. Our strategy is to help our customers with these challenges so they can focus on the value of data >> 18 months in. You seem pumped up. Does having a great time team fired up >> way. Get that right. Great. But you're okay with big geeking out to write a very good thanks for the time You've run out of time. 40 Niners next time. All right. Greg Hughes joining us from Veritas. Back with more Veum, World 2019 right here on the Cube. >> Thank you.

>> live from San Francisco, celebrating 10 years of high tech coverage. It's the Cube covering Veum World 2019 brought to you by the M Wear and its ecosystem partners. >> I am Stew Minimum and my co host, Justin Warren. And you're watching The Cube live from VM World 2019 here in Moscow North. Actually, the 10th year that we've had the cubit this event joining me on the program, I have Brad Anderson and Keith Norby, both with Netapp. Brad is an executive vice president, and Keith is director of strategic alliances. Gentlemen, thanks so much for joining us. >> Thank you. So, Brad, I've had >> the pleasure of working with the, um where since 2002 it's one of the highlights of my career in Tech has been watching that growth of virtual ization a company that, you know. It was about 100 people when I first started watching them. And that wave, a virtualization that had ripples throughout the industry, was really impressive. But >> I didn't actually >> get to come to this show until 2010 Asai said. Our 10th year of the show, you were one of the few that were at the inaugural event that it's the 16th year of it. So >> just give us a >> little bit of ah ah, look back in. You know what you've seen changing Netapp, of course. You know, long longtime partner of ah of Via Mers. >> Absolutely. He was like 3 4000 for it was at a hotel in San Diego. And there's probably about 1000 people there, but I don't think they were planning 1000. So is the longest kind of room. And we had people that were just kind of a mile down. And finally, uh uh, the comment was, Hey, could we knock down a wall and kind of get people a little bit closer? So, no, that was a long time ago. And in fact, it was Diane Mendel. I had an opportunity of Aquino, and I think there was another key note from IBM. >> Yeah, well, you know, I'm sorry they didn't invite you back on stage this morning, but, you know, >> a little big, bigger show today. >> A little bigger. I think we're somewhere the ballpark. 20 thousands. What? This show's been for about the last five years. Conversations very different today. As I made commentary were in the post VM era. Today, V EMS are no longer the center of the conversation. And you know, multi cloud is something that they put out there, which is the story I've been hearing from net out for many years software company, living in all of these cloud environment. So talk to us a little bit about how that relationship with VM wear and what we're not upsets in the ecosystem is >> changing. I mean, you know, Veum, where has never happened, then where has been a great partner for a long, long time? And, uh, and net have strategies Clearly hybrid multi cloud. When you think about private clouds today, VM where has a huge footprint in that space, So they continue be super important. We probably have a more expansive definition of hybrid to us. Hybrid is private cloud and public cloud in all kinds of combinations. And but we also so strongly believe the multi cloud and so we are. You know, we're driving very hard for the hybrid multi cloud, letting customers basically start anywhere they want to with any cloud provider on Prem in the cloud, and have that you know that control of data irrespective of and move at their own pace. >> Yes, sir. Vienna, Where has long been one of those places where everybody can meet? So you mentioned knocking down walls. VM. Where is one of the few companies that actually succeeded in doing that and having people be able to work with partners in other eras? There was often a lot of fighting between different vendors, or it's here. It's whatever you as a customer wants to do, we will be there to do that with you. And that's another one of those companies. All right, if you have some data, we will help you manage it, no matter where it is. So what tell it tells about something that what are you doing right now in this Is New World, where a stew mentions it's a post of'em world. So in this post of'em world, how do you manage your data in that post VM world? >> Well, it's it's it's Ah, it's managing first of all, I mean, we really strongly believe place, and so we're gonna manage, you know, you know the data and start where the customer starts. I mean, we're not advocating that they have to start in cloud. They have to be on prim. There's an orderly path because depending on the customer, they're all going to take a very different path. And and so what we want to do is give him control. Their data, irrespective of the path, allow them to move on that path. But we're seeing at Netapp that it's it's the but the data is beyond the data that's increasingly about applications. And so, you know, you heard a little bit about Ah Kubernetes. That's That's something we've strongly feel as well on providing a set of tools to provide choice where, you know, you know, independent the cloud, you know, same kubernetes service, same different tools, same tool set. Same service is on prim or in the cloud. >> Yeah, Ned has a strong cloud. President's summer things like cloud volumes. Some of the other acquisitions that you've made that help you with the cloud journey, like some of them have sufferings, are really strong, >> know very much so. And and we think we can provide Ah ah, the superior customer experience. But then, if the customer wants to use, you know, a variety interesting set of tools we support that as well. We are supporting the customer on his journey with the tools as they ah determined. >> So, Keith, tell us about some of the strategic partnerships that helped net up. To be able to partner with these different customers and to bring different vendors together to help themselves. Customer problems? >> Yeah, well takes a lot of them. Thio, meet the customer needs, as you saw today in the landscape folks that are on the solutions exchange floor. It takes not just a partnership between net up and VM wear, but net up in Vienna, where plus v m net up in Vienna, where plus ah ton of other folks, Cisco has an example longtime partner of ours and flex pot. Then you know the fact that we're doing memory accelerator flex pod takes, you know, something that has had a long tradition of the, um where excellence with Cisco and is now the order of magnitude faster than anything you want for APS that need scale, performance, all the service capabilities of on tap for things like Metro Cluster and beyond. >> So you remember back years ago it was you know, you know who has the most integrations and with the M wear. And you know, if you know all the A I and Viv balls and all of those pieces and netapp always, you know, was right at the top of the list. You know, working in those environments may be brought if you want to enter this. But, you know, today, how do you give us some examples That kind of that joint engineering work that goes on between Netapp and VM, where obviously there's bundle solutions like flex pod, that's, you know, the sphere plus netapp in there. But you know that engineering level, you know, where does rubber with road? >> Yeah, it's funny because I've been at every vehicle except to, And so I've been with you. In the sense I've seen the landscape of these innovations where Steve Haired and some others would talk about the movie previews of things like the aye aye and bossy providers all coming. And that was the big thing you'd focus on. Now it's less about that, and I think it's more about what Brad is kind of brought to net happened in the focus on simplicity. Now the funny part about simplicity is that to deliver simplicity, much like the engineering detail to deliver Tesla or an iPhone is extraordinary, so the work isn't less. In fact, the work is Maur and you pre configuring or pre what you were wearing as much as possible. The work we started to do over a year ago between George Curry in our CEO and Sanjay Poon got together. We started planning on some multi cloud plans, and, uh, that's where you see a lot of our persistence and cloud volumes on VMC. You see us having a view more vow, didn't design Aneta Page C. I for your Private Cloud VD I solutions. And these air meant to draw NSX a kn and when his net I've ever had in NSX immigration all said, Now we have had a sex and integrations to make that easier to bring on board. We have the realized integration so you could build a self serve portal catalog just like it talked about today, and the list goes on and on, so it's funny how it's less. The features are important. But what's more important is trying to make this a simple it's possible for you to consume and then for the folks that need things like scale of maps and service is or they need the same cloud volumes in this data fabric on any one of the hyper scale er's. We have really the only end in story on that, and that's what makes the via More plus net up thing worked really well. >> So how do you balance the flexibility of being able to solve multiple customer problems? And they all have different needs. How do you balance the simplicity with that? With that complexity? And it was mentioned by Pat, make a note as well that you've got this kind of tension between. I need to be able to do everything flexibly, but that can sometimes lead the complexity. So how do you change that? To become simple for customers to use? >> I mean, I think the biggest thing it Z it's a design input. I mean, if if you start out with just trying to make the technology all it can be with a end of you know, one particular cloud or one particular partner, then it becomes very difficult. As he tried to expand it to multiple partners and because it's about choice. We're kind of think about that right up front. And so if it's a design input, it puts, it puts, as he said, to put some burden on the technical team. But it is a much more powerful solution if we if you can pull it off, and that's been a big part, and I think it kind of starts with this mentality that you know, it's about choice, and we gotta make simplicity. And now part of the value proposition, rather than after for thought as it has, may be historically has been. What if >> we could talk a little bit about customers? Because, you know the message I hear this morning is you know, you talk multi cloud, a cloud native. There's a lot of change in the industry, you know, I'm participating in couple of career advice events because remember back 10 years ago, it was Oh, my gosh, if I'm a server admin, I need to learn to be virtualization than it was cloud. You know, architects, but way know that change in the industry is constant. So, you know, what are some of the key drivers when you're talking to customers in general and specifically when you talk about in engaging in part with the M where, >> Yeah, I mean, I I think it starts with people just recognizing. Even if people haven't moved the cloud today, that tends to be their primary strategy. In a recent survey, I think we found 98% of the customers, said Cloud is her strategy. However, 53% said still on Prem is their primary compute centers. So you know they're not there yet. And so But because that's their strategy, then you know we have to respect that. And so So, uh, you know, increasingly you're seeing at Netapp Waleed with clout, even though we know customers aren't quite ready there. But we align to that long term vision. But then our strange made up helping the modernize What they have currently on prim helping build private clouds for the same service is they have him public cloud, and then let them have the complete absolute choice. What public cloud or multiple public clouds they want and designed with with, you know, that full spectrum in mind, knowing they could start anywhere on that on that scale. >> Yeah, the customers ultimately are gonna dictate to the market What Israel and I think over time, Pios sort of vet who is right on this stuff. And so history's a great lesson teacher of all those things, you know, for me, it seems less less about how many different things you can offer. And as you see whether we're at Veum World or at Red Hat Summit were made obvious. Reinvent or, um, coup con every every every vector, turn of the customers. Prism on this will say something different. But I think in general, categorically, if you look at it, you could start to just, you know, glean what you think are the real requirements. And by the way, the rule carpets are not all technical. You know, I think what what gets lost on folks is that there is a lot of operational political factors, probably political factors, a lot more than what a lot of people think. You know, they're just talking about what the what The speed is to re factor APs or to migrate APS. Frankly, there's just a lot of politics that goes with that. There's a lot of just stuff to work through, >> and that's where I think simplicity is so important because of those non technical reason. Simplicity resonates across the board. >> But I would say you have to have simplicity with capabilities. >> I mean, just one of the things you talk about, right? If I modernize some application, well, the people that were using that application, they were probably complaining about that old one. But at least they do have to relearn >> that. Have that that new one. So we're gonna have some exciting announcements tomorrow. So I'm kind of check out tomorrow's stuff that will announce with VM, where with Netapp tomorrow We're here at the show floor will be showcasing some of those things. We can't give away too much of that today. But, you know, we think the future is bright and together with with Veum Or, you know, this partnership, I think, has a lot of upside. Like you said, we've had We've had a 17 year history with, you know, hundreds of thousands of customers together and installed base that goes back to like you said to be very beginning. Um, I remember back to the very beginning of the ecosystem. Net up was one of the strongest players in that market on dhe Since then, it's evolved beyond just NFS. >> Well, hopefully bread. We can get you on a keynote for in another 10 years. Waken Knock that wall down Exactly. Exactly. >> All right, great. Want to give you both the final word? You know, so so many big themes going on, you know, takeaways that you want people to have from the emerald 2019 bread >> I think the biggest takeaway is that just like the show today you didn't hear a whole lot about virtualization. It's moving to contain her eyes and and we had netapp view that, you know, we support all virtualized environments on from across the cloud, moving to supporting all containerized application environments on premises and cloud. And it's about choices in combinations of both, but keeping data control. >> Yeah, I'd say for me, it's it's really the power of the of of the better together, you know, to me, it's nobody's great apart. It takes really an ecosystem of players to kind of work together for the customer benefit and the one that we've demonstrated of'em. Where with that plus Veum, where has been a powerful one for well, well over 17 years and the person that putting in terms of joint customers that have a ton of loyalty to both of us, and they want us just to work it out. So you know, whether you're whether your allegiance on one side of the Cooper natty criminals battle or another or you're on one side of anyone's stores. Choice or another. I think customers want Netapp on via mortar work. It's out and come up with solutions that we've done that. And now what? We wait for the second act of this to come out. We'll start that tomorrow. Teeth and >> Brad, thank you so much if you couldn't tell by the sirens on the street. We are live here at San Francisco at Mosconi, north of lots more coverage. Three days wall to wall coverage for Justin Warren. I'm stew. Minimum is always thank you for watching the cue

>> fly from San Francisco. It's the Cube covering Google Club next nineteen Tio by Google Cloud and its ecosystem partners. >> Hey, welcome back. Everyone live here in San Francisco, California is the cubes coverage of Google Cloud Next twenty nineteen star Third day of three days of wall to wall coverage. John for a maiko stupid demon devil on things out around the floor. Getting stories, getting scoops. Of course, we're here with Sadeer has Bay. Who's the director of product management? Google Cloud. So great to see you again. Go on Back on last year, I'LL see Big Query was a big product that we love. We thought the fifty many times about database with geek out on the databases. But it's not just about the databases. We talked about this yesterday, all morning on our kickoff. There is going to be database explosion everywhere. Okay, it's not. There's no one database anymore. It's a lot of databases, so that means data in whatever database format document relational, Unstructured. What you want to call it is gonna be coming into analytical tools. Yes, this's really important. It's also complex. Yeah, these be made easier. You guys have made their seers announcements Let's get to the hard news. What's the big news from your group around Big Queria Mail Auto ml Some of the news share >> the news. Perfect, I think not. Just databases are growing, but also applications. There's an explosion off different applications. Every organization is using hundreds of them, right from sales force to work today. So many of them, and so having a centralized place where you can bring all the data together, analyze it and make decisions. It's critical. So in that realm to break the data silos, we have announced a few important things that they went. One is clouded effusion, making it easy for customers to bring in data from different sources on Prum Ices in Cloud so that you can go out and as you bring the data and transform and visually just go out and move the data into Big query for for analysis, the whole idea is the board and have Dragon drop called free environment for customers to easily bring daytime. So we have, like, you know, a lot of customers, just bringing in all the data from their compromise. The system's oracle, my sequel whatever and then moving that into into big Query as they analyze. So that's one big thing. Super excited about it. A lot of attraction, lot of good feedback from our customers that they went. The second thing is Big Query, which is our Cloud Skill Data warehouse. We have customers from few terabytes to hundreds of terabytes with it. Way also have an inline experience for customers, like a data analyst who want to analyze data, Let's say from sales force work, they are from some other tools like that if you want to do that. Three. I have made hundred less connectors to all these different sense applications available to our partners. Like five Grand Super Metrics in Macquarie five four Barrel Box out of the box for two five clicks, >> you'LL be able to cloud but not above, but I guess that's afraid. But it's important. Connectors. Integration points are critical table stakes. Now you guys are making that a table stakes, not an ad on service the paid. You >> just basically go in and do five clicks. You can get the data, and you can use one of the partners connectors for making all the decisions. And also that's there. and we also announced Migration Service to migrate from candidate that shift those things. So just making it easy to get data into recipe so that you can unlock the value of the data is the first thing >> this has become the big story here. From the Cube standpoint on DH student, I've been talking about day all week. Data migration has been a pain in the butt, and it's critical linchpin that some say it could be the tell sign of how well Google Cloud will do in the Enterprise because it's not an easy solution. It's not just, oh, just move stuff over And the prizes have unique requirements. There's all kinds of governance, all kinds of weird deal things going on. So how are you guys making it easy? I guess that's the question. How you gonna make migrating in good for the enterprise? >> I think the one thing I'll tell you just before I had a customer tell me one pain. You have the best highways, but you're on grams to the highway. Is that a challenge? Can you pick that on? I'm like here are afraid. Analogy. Yeah, it's great. And so last year or so we have been focused on making the migration really easy for customers. We know a lot of customers want to move to cloud. And as they moved to cloud, we want to make sure that it's easy drag, drop, click and go for migration. So we're making that >> holding the on ramps basically get to get the data in the big challenge. What's the big learnings? What's the big accomplishment? >> I think the biggest thing has Bean in past. People have to write a lot ofthe court to go ahead and do these kind of activities. Now it is becoming Click and go, make it really cold free environment for customers. Make it highly reliable. And so that's one area. But that's just the first part of the process, right? What customers want is not just to get data into cloud into the query. They want to go out and get a lot of value out off it. And within that context, what we have done is way made some announcements and, uh, in the in that area. One big thing is the B I engine, because he'd be a engine. It's basically an acceleration on top of the query you get, like subsequently, agency response times for interactive dash boarding, interactive now reporting. So that's their butt in with that. What we're also announced is connected sheets, so connected sheets is basically going to give you spreadsheet experience on top ofthe big credit data sets. You can analyze two hundred ten billion rose off data and macquarie directly with drag drop weakened upriver tables again. Do visualizations customers love spreadsheets in general? >> Yeah, City area. I'm glad you brought it out. We run a lot of our business on sheep's way of so many of the pieces there and write if those the highways, we're using our data. You know what's the first step out of the starts? What are some of the big use cases that you see with that? >> So I think Andy, she is a good example of so air. Isha has a lot of their users operational users. You needed to have access to data on DH, so they basically first challenge was they really have ah subsequently agency so that they can actually do interact with access to the data and also be an engine is helping with that. They used their story on top. Off half now Big Quit it, Gordon. Make it accessible. Be engine will vote with all the other partner tooling too. But on the other side, they also needed to have spread sheet like really complex analysis of the business that they can improve operation. Last year we announced they have saved almost five to ten percent on operational costs, and in the airline, that's pretty massive. So basically they were able to go out and use our connective sheets experience. They have bean early Alfa customer to go out and use it to go in and analyse the business, optimize it and also so that's what customers are able to do with connected sheets. Take massive amounts of data off the business and analyze it and make better. How >> do we use that? So, for a cost, pretend way want to be a customer? We have so many tweets and data points from our media. I think fifty million people are in our kind of Twitter network that we've thought indexed over the years I tried to download on the C S V. It's horrible. So we use sheets, but also this They've had limitations on the han that client. So do we just go to Big Query? How would we work >> that you can use data fusion with you? Clicks move later into Big Query wants you now have it in big query in sheets. You will have an option from data connectors Macquarie. And once you go there, if you're in extended al far, you should get infection. Alfa. And then when you click on that, it will allow you to pick any table in bickering. And once you link the sheets to be query table, it's literally the spreadsheet is a >> run in >> front and got through the whole big query. So when you're doing a favour tables when you're saying Hey, aggregate, by this and all, it actually is internally calling big credit to do those activities. So you remove the barrier off doing something in the in the presentation layer and move that to the engine that actually can do the lot skill. >> Is this shipping? Now you mention it. Extended beta. What's the product? >> It's an extended out far for connected sheets. Okay, so it's like we're working with few customers early on board and >> make sure guys doing lighthouse accounts classic classic Early. >> If customers are already G sweet customer, we would love to get get >> more criteria on the connected sheets of Alfa sending bait after Now What's what's the criteria? >> I think nothing. If customers are ready to go ahead and give us feedback, that's what we care of. Okay, so you want to start with, like, twenty twenty five customers and then expanded over this year and expand it, >> maybe making available to people watching. Let us let us know what the hell what do they go? >> Throw it to me and then I can go with that. Folks, >> sit here. One of the other announcements saw this week I'm curious. How it connects into your pieces is a lot of the open source databases and Google offering those service maybe even expand as because we know, as John said in the open there, the proliferation of databases is only gonna increase. >> I think open source way announced lot of partnerships on the databases. Customers need different types of operational databases on. This is a great, great opportunity for us to partner with some of our partners and providing that, and it's not just data basis. We also announced announced Partnership with Confident. I've been working with the confident team for last one place here, working on the relationship, making sure our customers haven't. I believe customers should always have choice. And we have our native service with Cloud pops up. A lot of customers liked after they're familiar with CAFTA. So with our relationship with Khan fluent and what we announced now, customers will get native experience with CAFTA on Jessie P. I'm looking forward to that, making sure our customers are happy and especially in the streaming analytic space where you can get real time streams of data you want to be, Oh, directly analytics on top of it. That is a really high value add for us, So that's great. And so so that's the That's what I'm looking forward to his customers being able to go out and use all of these open source databases as well as messaging systems to go ahead and and do newer scenarios for with us. >> Okay, so you got big Big query. ML was announced in G. A big query also has auto support Auto ml tables. What does that mean? What's going what's going on today? >> So we announced aquarium L at Kew Blast next invader. So we're going Ta be that because PML is basically a sequel interface to creating machine learning models at scale. So if you have all your data and query, you can write two lines ofthe sequel and go ahead and create a model tow with, Let's say, clustering. We announced plastering. Now we announced Matrix factory ization. One great example I will give you is booking dot com booking dot com, one of the largest travel portals in the in the world. They have a challenge where all the hotel rooms have different kinds off criteria which says they have a TV. I have a ll the different things available and their problem was data quality. There was a lot of challenges with the quality of data they were getting. They were able to use clustering algorithm in sequel in Macquarie so that they could say, Hey, what are the anomalies in this data? Sets and identify their hotel rooms. That would say I'm a satellite TV, but no TV available. So those claims direct Lansing stuff. They were easily able to do with a data analyst sequel experience so that's that. >> That's a great example of automation. Yeah, humans would have to come in, clean the data that manually and or write scripts, >> so that's there. But on the other side, we also have, Ah, amazing technology in Auto Emma. So we had our primal table are normal vision off thermal available for customers to use on different technologies. But we realized a lot of problems in enterprise. Customers are structured data problems, So I have attained equerry. I want to be able to go in and use the same technology like neural networks. It will create models on top of that data. So with auto Emel tables, what we're enabling is customers can literally go in auto Emel Table Portal say, Here is a big query table. I want to be able to go out and create a model on. Here is the column that I want to predict from. Based on that data, and just three click a button will create an automated the best model possible. You'LL get really high accuracy with it, and then you will be able to go out and do predictions through an FBI or U can do bulk predictions out and started back into Aquarian also. So that's the whole thing when making machine learning accessible to everyone in the organization. That's our goal on with that, with a better product to exactly it should be in built into the product. >> So we know you've got a lot of great tech. But you also talk to a lot of customers. Wonder if you might have any good, you know, one example toe to really highlight. Thie updates that you >> think booking dot com is a good example. Our scent. Twentieth Century Fox last year shared their experience off how they could do segmentation of customers and target customers based on their past movies, that they're watched and now they could go out and protect. We have customers like News UK. They're doing subscription prediction like which customers are more likely to subscribe to their newspapers. Which ones are trying may turn out s o those He examples off how machine learning is helping customers like basically to go out and target better customers and make better decisions. >> So, do you talk about the ecosystem? Because one of things we were riffing on yesterday and I was giving a monologue, Dave, about we had a little argument, but I was saying that the old way was a lot of people are seeing an opportunity to make more margin as a system integrated or global less I, for instance. So if you're in the ecosystem dealing with Google, there's a margin opportunity because you guys lower the cost and increase the capability on the analytic side. Mention streaming analytics. So there's a business model moneymaking opportunity for partners that have to be kind of figured out. >> I was the >> equation there. Can you share that? Because there's actually an opportunity, because if you don't spend a lot of time analyzing the content from the data, talk aboutthe >> money means that there's a huge opportunity that, like global system integrators, to come in and help our customers. I think the big challenges more than the margin, there is lot of value in data that customers can get out off. There's a lot of interesting insights, not a good decision making they can do, and a lot of customers do need help in ramping up and making sure they can get value out of that. And it's a great opportunity for our global Asai partners and I've been meeting a lot of them at the show to come in and help organizations accelerate the whole process off, getting insights from from their data, making better decisions, do no more machine learning, leverage all of that. And I think there is a huge opportunity for them to come in. Help accelerate. What's the >> play about what some other low hanging fruit opportunities I'LL see that on ramping or the data ingestion is one >> one loving fruit? Yes, I think no hanging is just moving migration. Earlier, he said. Break the data silos. Get the data into DCP. There's a huge opportunity for customers to be like, you know, get a lot of value. By that migration is a huge opportunity. A lot of customers want to move to cloud, then they don't want to invest more and more and infrastructure on them so that they can begin level Is the benefits off loud? And I think helping customers my great migrations is going to be a huge Obviously, we actually announced the migration program also like a weak back also way. We will give training credits to our customers. We will fund some of the initial input, initial investment and migration activities without a side partners and all, so that that should help there. So I think that's one area. And the second area, I would say, is once the data is in the platform getting value out ofit with aquarium in auto ml, how do you help us? It must be done. I think that would be a huge opportunity. >> So you feel good too, dear. But, you know, build an ecosystem. Yeah. You feel good about that? >> Yeah, way feel very strongly about our technology partners, which are like folks like looker like tableau like, uh, talent confluence, tri factor for data prep All of those that partner ecosystem is there great and also the side partner ecosystem but for delivery so that we can provide great service to our customers >> will be given good logos on that slide. I got to say, Try facts and all the other ones were pretty good etcetera. Okay, so what's the top story for you in the show here, besides your crew out on the date aside for your area was a top story. And then generally, in your opinion, what's the most important story here in Google Cloud next. >> I think two things in general. The biggest news, I think, is open source partnership that we have announced. I'm looking forward to that. It's a great thing. It's a good thing both for the organizations as well as us on DH. Then generally, you'LL see lot off examples of enterprise customers betting on us from HSBC ends at bank that was there with mean in the session. They talked about how they're getting value out ofthe outof our data platform in general, it's amazing to see a lot more enterprises adopting and coming here telling their stories, sharing it with force. >> Okay, thanks so much for joining us. Look, you appreciate it. Good to see you again. Congratulations. Perfect fusion ingesting on ramps into the into the superhighway of Big Query Big engine. They're they're large scale data. Whereas I'm Jeffers dipping them in. We'LL stay with you for more coverage after this short break