(upbeat music) >> And welcome back. I'm John Furrier, host of theCUBE. We're excited to welcome Teradata back to theCUBE and today with us at the ARIA is re:MARS conference coverage. It's great to hear with Hillary Ashton, Chief Product Officer of Teradata. Great to have you on. Thanks for coming on. >> John, thanks so much for having me. I'm super excited to be joining you today. >> So re:MARS, what a great event. It brings together the confluence of machine learning, which is data, automation, robotics, and space. Which is to me, is a whole new genre of conversations, around technology and business value. It is going to be a big kind of area. And it's just, again just getting started any one, as they say, and super excited. Tell us about what you guys are doing there and yourself. >> About two and a half years ago I head up the products organization. That means I have responsibility for our roadmap and our and our strategy overall on the product side. Prior to coming Teradata, gosh, I have spent the last 20 years, if I can say that, in the data and analytics space. I grew up in marketing application space, spent 11 years at SaaS, really cut my teeth on hardcore AI, ML and analytics at SaaS, and most recently was at PTC, where I was in charge of, I was a general manager of augmented reality, the business unit at PTC, focused on IOT data and how IOT data and augmented reality can really bring machines to life. >> It's interesting. You talked about SaaS and kind of your background, you know everything SaaSified with the cloud now. So you think about platform as a service, SaaS models emerging, software is an open source game now. So it's an integration cloud-scale data conversation we're seeing. What's your reaction to that? What's your reaction to that kind of idea that, okay, everything's open to source, software value integrating in with data. What's your reaction to that? >> Yeah, I mean, I think open source absolutely has some awesome things going on there. I think there's great opportunities for commercial, reliable, governed software and open source capabilities to come together in an open ecosystem that allow our customers to choose the best way to deliver the analytic outcomes that they're focused on. >> So you guys have been in the news lately around connecting multicloud data analytics platforms and transforming businesses around there, obviously, the background with Teradata is well documented. What's this news about? What's really going on there? You got Vantage platform. What's happening? Take us through that story. What's the key point? >> Yeah, we've worked super hard to deliver a true, multicloud, hybrid, data platform. So, if you think customers, many of our enterprise customers started with on-premises data systems and are moving violently to the cloud, right? So they're super excited about moving to the cloud but being able to deploy on multiple clouds, I think is important and then importantly, sort of this hybrid notion of being able to leverage data that's on-premises and combine it with data in the cloud on AWS, for example. And so being able to do those hybrid use cases you may have data that's like older and kind of archaic, needs to stay on-premises. There's not a lot of value in moving it to the cloud but you want to combine it with some of the innovative, analytic capabilities that perhaps you're doing on AWS. And so Teradata allows you to live in that hybrid multicloud environment and deliver analytic outcomes wherever your data is. >> Hillary, one of the top conversations is data cloud. You got to have a data cloud. I want to deal with this, move this around, but there's a lot of now integration opportunities to bring data from different sources together whether you're in healthcare, all the verticals have the same use case, multiple access to different databases, bringing them all together, ETL, all that old-school stuff is coming back in and being kind of refactored with machine learning, with cloud scale, with platforms like AWS, there's now this new commitment to bringing this to the next level for enterprises. And you mentioned some of those partnerships. What specifically is going on in the cloud that's notable, that's realistically that customers are executing on now? Not the hype, the reality. >> The reality. Yeah, absolutely. So I mean, I think today with Teradata our customers are leveraging something that we call a query fabric. And so this is the idea, as you said, John, that data might be in a lot of different places and you want to be able to get value out of that data without the difficulty of moving it around unnecessarily. Sometimes you want to move it around but unnecessary data movement is both expensive and an inefficient use of precious time. And so I think that there's an opportunity for this query fabric to be able to do remote push-down queries, wherever that data is and return back the results that you are looking for, analytic results, AI and ML results, combining different data that's in different locations to deliver that analytic outcome quickly without having to move the data around. So I would say query fabric is one of the areas that we are super invested in and, today, is delivering real value for our customers. >> It's really interesting. Data being addressable and available, low latency. I mean, we're talking about space, automation, robotics, real-time, so you have different data types stored in different data vehicles or mechanisms that need to be real-time and available. Because machine learning only works as good as the data they has available to it. So again, this is a key, kind of new way that folks are re-architecting. And again, we're here at, at re:MARS, right? I mean to machine learning automation, robotics and space, kind of the real world, physical, digital, trust, scale, huge concepts here. What's the partnership? How's it working with AWS? Take us through that strong partnership that you guys are developing. >> Yeah. I mean, we have a fantastic relationship with AWS. We're really excited that we signed a strategic collaboration agreement at the end of last year that really puts us in an elite category of AWS partners. We're really committed to co-investing and co-engineering with Amazon and our product development organization and also in go-to market and marketing and other parts of our business. As the Chief Product Officer, I'm really excited about three key areas. First is we've optimized Teradata Vantage to run in the AWS cloud at great scale, with unparalleled scale at the highest level for our customers. And so we've partnered with them to be able to handle some of the complex analytic workloads. And we think of analytic models are one part of a workload. There may be other ELT that you talked about, right? Workloads that you may need to run, all of that running at tremendous scale with AWS in the cloud. The second area is deep integration. So Teradata used to think that we were the ecosystem. We built everything soup connects end-to-end. Today, we live in a really exciting data and analytics space and we partner closely with CSPs like AWS, where we are deeply integrated. We have dozens of AWS native integrations in our AWS offer today. And that lets customers take advantage of AWS X3 for Cloud Lake, for example Amazon Kinesis for data ingestion and streaming and on and on. So we're really focused on the integration area there. And then finally, we've developed, co-developed with AWS, a fast and low risk migration approach to move from on-premises to the cloud for our enterprise customers. >> You know, what's interesting is as we kind of weave together, I hear you talking about those three areas. I mentioned earlier at the top of the interview, how integration is now the competitive advantage. Software is almost going commodity with open source because you mentioned that. All good, right? All good stuff. But when you think about kind of the big trends in this new computing world, it's hybrid cloud, it's edge, and IOT, okay? Again, cloud-scale and these new connected points, trust, access, all these things have to be integrated. So integration, you guys have been in the middle, Teradata has been around for a long time, leader in data warehousing, but now with cloud and in the data types, this is a game changer. I mean, this is notable. Can you share more about how you see this evolving with customers because at the end of the day the integration becomes super critical. >> Yeah, absolutely. And I'm super passionate about the opportunities of IOT streaming data. And that's one of the key areas of partnership with Amazon is taking that streaming data, leveraging the analytic opportunities with Amazon. We'll talk about that in just a second, but I think some of the examples that I could share with you, everyone loves to hear, I love to hear, about what actual customers are doing. So Brinker International, they're one of the world's largest casual dining restaurants. If you've ever been to a Chili's Grill or Maggiano's Little Italy those are the guys, Brinker International owns those brands. So we leveraged Amazon SageMaker and Teradata Vantage together to apply advanced analytic and predictive modeling to be able to understand things like demand. And you're in the middle of COVID and trying to understand how many people should you have on staff today? What is the demand going to look like? What should sales look like? What's foot traffic look like? So that demand forecasting capability across their 1,600 different store fronts or restaurant fronts is one of the examples that I could share with you. The other one is Hertz. So one of the world's largest vehicle rental companies. They are using Vantage and AWS together to track and analyze transaction data across all of its global locations and manage again that complex inventory. And some of that is streaming data, some of that is data that we're getting from the cars themselves, and then create a new value-added program to their loyalty members which is sort of the name of the game. Is customer acquisition and extension of brand across those customers. So those are two examples I can share with you. There's many, many others but I know you probably had some other questions. >> Yeah. I want to come back to the SageMaker thing. I think that's important partnership there because it's been one of the fastest growing services. It's always at the top or in the top two or three whenever I talk to Andy Jassy and the team over there. But I want to talk about scalability and I want to ask you, if you can scope for me the scalability of what's going on with this data challenging, 'cause where are we on that scale? Can you share how you would scope the scale? >> Absolutely. And I love talking about scale because it is a home run for Teradata. I think many customers start looking at the cloud and they start with kind of a little tiny baby footprints but we are an enterprise solution, an enterprise platform. And so I think that we're looking at tens of thousands of users and thousands of business critical applications. That's what our customers are doing and have done for decades with Teradata and bringing all of that scale to the cloud. And with AWS in particular, we recently did 1,000 node testing. I'm going to walk through this a little bit slowly, which is hard for me, as you can tell, but it was a single system of more than 1,000 nodes which is just to give you a sense, that's double our largest on-premises system. So it's huge. It was the single largest system. >> John: Double is your largest customer deployment? >> Double our largest customer deployment on-premises. Yeah, that's right. So it was 1,000 nodes with more than 1,000 different users submitting thousands of concurrent queries. So huge enterprise scale. And this was a real-world use case. We took not a traditional benchmark but a real world customer set of mixed workloads. So lots of long running strategic queries and lots of fast running queries that needed really tight SLAs. All of that running simultaneously. We saw no system down times, we were able to roll out and roll back new capabilities seamlessly in a true software as a service fashion. So that was an awesome test all run on AWS. And I think that their team was just as excited as we were about it. >> Well, I love the scale. I love that test you guys ran. I see you're sponsoring re:MARS which is great, congratulations. We love covering since the beginning, we believe of kind of a whole new genre of programming brings together the confluence of exciting technologies that just a decade ago weren't always working together. They were bespoke. >> That's right. Yeah. >> So now it's all integrated in at cloud scale, you got the test, got thousands of concurrents queries. What else are you showcasing? You mentioned the SageMaker because that's really where Amazon's connecting all these tools. How are you integrating in? It sounds like you're bringing all that Amazon goodness in with Teradata and vice versa. >> Absolutely. We're delivering sort of the best in class to our customers jointly. So here re:MARS today, we're really excited to be talking about SageMaker and our relationship with AWS to be able to deliver that seamless integration between our solutions for machine learning services and Teradata Vantage. So I'm sure it won't come as any surprise to you as we just talked about, but we're finding that massive investments in AI and ML and other advanced analytic capabilities are out there, and many organizations are really only experimenting. They're just starting to explore some of these opportunities. We think that there's tremendous value in this scale that we just talked about, that we can offer, combined with best in class AI and ML capabilities like SageMaker. And so we are excited to talk about it. If you want to see it, we've got a booth set up, you can come and take a look at what we're doing there but I think there's huge opportunities for customers to get to the analytic value with Teradata Vantage and AWS SageMaker. >> Yeah, it's great to see Teradata seeing that headroom opportunity to extend the value proposition to kind of new territory with your customers. I can definitely see it. Love the connection here. Where can they learn more about the Teradata partnership with AWS and Amazon? Is there a site? Is there a program coming? Is there any more content that they can be expecting to see? Take a little plug time to plug the company. >> If you insist, I will, John. Thank you. I think, if you're at the event right now, you can swing by Teradata's booth. We're at booth 111. You can get a demo of our SageMaker integration and learn more about both our enterprise scale and the advanced outcomes that we're able to provide to our customers. If you're not at re:MARS and we really think you should be, we would encourage you to sign up for one of our upcoming SageMaker webinars that we're doing with AWS this year. And if you'd like to, you can also just email us at aws@teradata.com. Again, that's aws@teradata.com and we'll set up a private demo for you. >> Well, Hillary Ashton, great to have you on. Chief Product Officer, Teradata, you must be feeling good. You got a lot to work with. You've got an install base. You have new territory to take down. As the Chief Product Officer, you got the keys to the kingdom. Give us a quick bumper sticker of where you guys are going with the product. >> We are fast and furious. My team will tell you, we are so excited to be here with AWS and Teradata is on an epic trajectory forward in our cloud first approach, so we are so excited about our roadmap. If you'd like to learn more, please swing by teradata.com. >> Lot of innovation happening. Thanks for coming on theCUBE. Okay, this is theCUBE coverage of Amazon re:MARS machine learning, automation, robotics, and space. It cuts the confluence of digital, virtual data and real-world and space. You can't get any more than this. That's a big edge out there in space. Talk about edge computing and space. Of course, theCUBE's here covering it. I'm John Furrier, your host. Stay with us for more coverage here at Amazon re:MARS. (upbeat music)