 Live from Las Vegas, it's theCUBE, covering AWS re-invent 2018. Brought to you by Amazon Web Services, Intel, and their ecosystem partners. Okay, welcome back everyone. This is theCUBE's live coverage here in Las Vegas for Amazon Web Services re-invent. I'm John Furrier, Lauren Cooney, your host here at theCUBE, we've got two sets. We have a great guest, CUBE alumni, Rowan Schwartz, who's the Senior Vice President General Manager of Cloud, big data and data integration for Informatica. As you know, we cover their events. Great to see you. Great to see you as well. So, one thing that jumps out at me here at this show, and I want to get your reaction right out of the gate, is Amazon's scale is unprecedented. And they're using that scale to create differentiation and competitive advantage. This is something that's familiar to you guys. You guys have scale with your data. Big data at scale now is something that's become, I won't say in vogue. It's popular because people are now obviously seeing I need to do better with my data. I need a data platform. No data platform, I'm not successful. Your thoughts? I think you're absolutely right. And scale is the key word for customer to be successful. And I truly believe that the cloud is offering this ability of infinite scale. And who better than Amazon to actually demonstrate that? We definitely have a lot of customer that are demonstrating scale in a repeatable mode. One of my favorite statistics about Informatica Cloud is the fact that the amount of data that we process actually doubles every six months. And every time when I look into the number, the number now is five trillion records in a month. Every time I look at the number, I think, just going through our cloud, right? And I'm looking into this number and I'm saying like, can we really double it once again? So far in the last five years that had actually been a statistic. So I agree with you, scale is part of the game. Talk about what you guys are doing here at Reinvent this year. Obviously a partnership has been there for a while. What's you guys announcing? What's the story? What's the conversation this week for Informatica? Informatica is announcing here a solution that we built together with AWS and Tableau really introducing Nest Generation Analytics. If you want to modernize the way you look and work with data, you actually can get the best of read, integration, a data catalog, together with a modern data warehouse in the cloud from Amazon and basically Tableau, Tableau cloud to reach out self-service. All of that could be now started in one button. Everything is already integrated, working, optimized for customers new and existing to really get value from their data. And the future of your business is what? Fill in the blank. The future of Informatica is blank. Fill in the blank. Surprise cloud data management. Really supporting customers in a data-driven world, helping customer navigate the huge transformation that is happening now with the market with data. Rowan, what do you think about Amazon moving up the stack? Obviously there's a lot of services we've seen, Redshift, Kinesis, Aurora, all these are new capabilities. Not just EC2 anymore, although they're touting a lot of EC2, they have the big groundbreaking news around the satellites. It's called Ground, something, Earth's satellite provisioning ground station. They're provisioning connectivity. So your data's going to get more full. They're going to create more edge data. Right, I think, I mean, the world for IT is changing in an unbelievable way. And I do think that Amazon is changing it. Some of it is in the up market, but they're changing the way operation works. They're changing the way the back end is working. And you're right, I mean, anyway, from trucks that go with data to satellites, they're changing the way people work. They're getting connected to the edge, but they're also highlighting analytics, right? Machine learning, AI, this is something you guys have been doing as well. It's going to put more emphasis on analytics and automation. How does that affect your business? How do you talk to your customers saying, what does this mean for me? I'm an informatic customer. For Informatica, the more data the customer has, the more data the end users are enabled to use, the more business it is for us. It actually means that data is more important. Data is more important means the data management is more important. And this is really where we help customer get value. So I have a question, and this is kind of a clarification. So are you talking about when your customers consume, you know, or can understand their data? So is it information or is it data? You're touching a really important point, which is the difference between raw data and basically valuable data, information and conclusion. Informatica is helping the customer from identifying the data, discovering the right data, all the way into improving the data with data quality, with normalization, et cetera, all the way to the place that the data is ready to be investigated, to become information. And basically this is our role and it actually compliments really, really nicely the real changes that are happening with the storage, with analytics, analytics and scale, and definitely with the rise of AI. People are not just looking backwards into what the data mean in the past, they're actually trying to leverage data in order to guess and understand what will happen going forward. So can you give me a use case, like a customer use case that you have, you know, understanding that you may or may not be able to talk about a specific customer, but just in general? Let me give you a few examples. One of my favorite examples is a lot of the medicines have been discovered by a practitioner, usually a doctor, identifying something that happened to two of his patients. But the human memory and a single practitioner, like a doctor, he can remember what happened a few months back, a few years back for only his patients. Informatica actually together with AWS is supporting MD Anderson in a massive implementation of a data lake that collects what happened to millions of patients from hundreds and thousands of hospitals, so that you can actually identify repeatable patterns that can lead to new medicine and new investigation. It's also faster innovation because it's when you're running through that data to get the results from the clinical studies and things like that, that is tremendous. That would really increase the speed there. You're absolutely right. The next part of that is actually how do you make innovation faster? And this is instead of human beings connecting the docs, machine learning, AI, and other advanced methodologies that help you identify basically these patterns, these unique situation that actually can drive somebody to invent a new medicine. It can drive somebody else to sell more effectively, a third party to do maintenance better, and so on. So have you thought about pushing the business a little bit further and innovating with the customer, like co-creation and things along those lines? Innovate with the customer, sorry, can you repeat? Innovation with the customer once they are kind of turning the data into information, are you looking at co-creating with your customers? Is that something that you're into? So Informatica is actually making sure that the data that is driving the innovation is the right data in the right shape, in the right quality, and is available for the innovation. The innovation that is driven from the data is where tools like AWS, AI, and machine learning, the data warehousing, and others are actually being leveraged. Okay. Talk about the update on Amazon relationship. You guys have had a partnership with them. Is there any updates? What's the current status? Definitely. So Informatica basically empowers all of its customers to run any of their Informatica implementation on AWS without any additional cost and so on. What we've done in the last few years is more than that, we actually help them optimize how they're running existing workloads, leveraging the power of cloud, auto-scaling, automatic performance adjustment, scale up and scale down in a very effective way. And what we're doing right now, together with AWS, is actually empowering customer to drive migration of data to the cloud, helping customer identify security and vulnerabilities on the data layer, all of that in an automated way. Where I want to end it up is that today, if you're leveraging any of the Amazon data services, any of the storage, et cetera, Informatica is offering an optimized way to bring data on-premise from other clouds to AWS. The data catalog is a dream for AI and machine learning. Really, think about it. If the brains are going to be in the cloud, data catalog is kind of like the connective tissue. I totally agree. I mean, it's actually interesting that the classical bottleneck which was compute is actually disappeared. You have an infinite amount of power to compute. Even your ability to have access to advanced algorithms and so on has been resolved. They are all available as a service to be used. However, these sophisticated, really bright AI users, they're, you're right, their bottleneck is, can I find the data that is needed for me for my Alligator? Can I make sure this data is the right data? The data catalog, Informatica Enterprise Data Catalog, the catalog that don't just go to one place, but to the whole enterprise is key to reach good AI. The FBI just talked today in big speech this morning at Theresa Carlson's event. They can't put the pieces together in these investigations fast enough for the bad guys because of the database problem. They need to have the catalog, so these data legs, they need the AI, they need to compute. You guys got it all. Rowan, thanks for joining us. Thanks for sharing your insights again on theCUBE. My pleasure, really exciting show, a lot, a lot of exciting news. Great to see you. Thank you. All the stuff we talked about three years ago is happening now, Informatica, check it out. Of course theCUBE covers Informatica's events. I do a lot of hosting there. I'm here with Lauren Cooney here at Amazon Reinvent. Wall-to-wall coverage, three days of programming. Stay with us for more after this short break.