(upbeat music) >> Well good to have you with us here as we continue the AWS startup showcase and we're joined now by the CEO of BigID, Dmitri Sirota. And Dmitri good afternoon to you? How are you doing today? >> I'm pretty good, it's Friday, it's sunny, it's warm, I'm doing well. >> Then that's a good start, yeah. Glad to have you with us here. First off, just about BigID and when you look at I would assume these accolades are, they are quite a showcase for you. Well economic forum technology pioneer. Forbes cloud 100, business insider startup the watch. I mean, you are getting a lot of attention, obviously for... >> Yep. >> And well-deserved, but when you see these kinds of recognitions coming your way- >> Yep. >> First of what does that do to inspire, motivate and fuel this great passion that you have? >> Yeah, look I think all of these recognitions help, I think affirm, I think what we aspire to be right? Provide the preeminent solution for helping organizations understand their data and in so doing, be able to address problems in privacy and protection and perspective. And I think that these recognitions are part of that as our customers, as our partners like AWS. So they're all part of that ad mixture. And I think they contribute to a sense that we're doing some pioneering work, right as they work from the world economic forum recognized. So I think it's important. I think it's healthy. It encourages kind of cooperative spirit at the company. And I think it's, you know, it's very encouraging for us to continue and build. >> So let's talk about BigID, a little bit for our viewers who might not be too familiar. You are a fairly new company, raised 200 million so far, five years of operations coming up on five years. >> Yep. >> But talk about your sweet spot in terms of the variety of services they provided in terms of protection and security. >> Yeah, sure. So we were founded with really this kind of precept that organizations need to have a better understanding of their data. I think when we got started about five years ago. Most organizations had some view of their data, maybe a few of their files, maybe their databases. What changed is the emerging privacy regulations like GDPR and CCPA later forced companies to rethink their approach to data understanding data knowledge, because part of the kind of the core consumption of privacy is that you and me and other individuals have a right to their data the data actually belongs to us. Similar to when you deposit a check in a bank. That money you deposited is yours. If you ever want to withdraw it, the bank has to give it back to you. And in a similar way, these privacy regulations require organizations to be able to give back your data or delete it or do other things. And as it happens there was no real technology to help companies do that, to help companies look across their vast data estates and pick out all the pieces of information all the detritus that could belong to Dimitri. So it could be my password, it could be my social security, it could be my click stream, it could be my IP address, my cookie. And so we developed from the ground up a brand new approach to technology that covers the data center and the cloud, and allow organizations to understand their data at a level of detail that never existed before. And still, I would argue doesn't exist today. Separate from BigID. And we describe that as our foundational data discovery in depth, right? We provide this kind of multidimensional view of your data to understand the content and the context of the information. And what that allows organizations to do is better understand the risk better meet certain regulatory requirements like GDPR and CCPA. But ultimately also get better value from their data. And so what was pioneering about us is not only that level of detail that we provided almost like your iPhone provides you four cameras to look at the world. We provide you kind of four lenses to look at your data. But then on top of that we introduced a platform that allowed you to take action on what you found. And that action could be in the realm of privacy so that you could solve for some of the privacy use cases like data rights or consent or consumer privacy preferences or data protection data security, so that you can remediate. You can do deal with data lifecycle management. You could deal with encryption, et cetera. Or ultimately what we call a data governance or data perspective, this idea of being able to get value from your data but doing so in a privacy and security preserving way. So that's kind of the conception we want to help you know, your data. And then we want to help you act on your data so that your data is both secure. It's both compliant , but ultimately you get value from your data. >> Now we get into this, helping me know my data better because you you've talked about data you know and data you don't right? >> Dimitri: Yeah. >> And you're saying there's a lot more that we don't or a company doesn't know. >> Dimitri: Yeah. >> Than it's aware of. And I find that still kind of striking in this day and age. I mean with kind of the sophistication of tools that we have and different capabilities that I think give us better insight. But I'm still kind of surprised when you're saying there's all a lot of data that companies are housing that they're not even aware of right now. >> They're not and candidly they didn't really want to be for a long, long time. I think the more you know sometimes the more you have to fix, right? So there needed to be a catalyzing event like these privacy regulations to essentially kind of unpack, to force a set of actions because the privacy regulation said, no, no, no you need to know whether you want to or not. So I think a lot of organizations for years and years outside of a couple of narrow fields like HIPAA, PCI unless there was a specific regulation, they didn't want to know too much. And as a consequence there, wasn't really technology to keep up with the explosion in data volumes and data platforms. Right? Think about like AWS didn't exist when a lot of these technologies were first built in the early 2000's. And so we had to kind of completely re-think things. And one thing I'll also kind of highlight is the need or necessity is not just driven by some of these emerging privacy regulations, but it's also driven by the shift to the cloud. Because when you have all your data on a server in a data center in New Jersey, you could feel a false sense of security because you have doors to that data center in New Jersey and you have firewalls to that data center in New Jersey. And if anybody asks you where your sensitive data you could say, it's in New Jersey! But now all of a sudden you move it into the cloud and data becomes the perimeter, right? It's kind of naked and exposed it's out there. And so I think there's a much greater need and urgency because now data is kind of in the ethos in the air. And so organizations are really kind of looking for additional ability for them to both understand contextualize and deal with some of the privacy security and data governance aspects of that data. >> So you're talking about data obviously AWS comes to mind, right? >> Dimitri: Yeah. And the relationship that you have with them it's been a couple of years in the making things are going really well for you and ultimately for your customers. What is it about this particular partnership that you have with AWS that you think has allowed you to bring that even more added value at the end of the day to your customer base? >> Look, our customers are going to AWS because its simplicity to kind of provision their applications, their services, the cost is incredibly attractive, the diversity of capabilities that AWS provides our customers. And so we have a lot of larger and midsize and even smaller organizations that are going to AWS. And it's important for us to be where our customers are. And so if our customers are using Red Sheriff, or using S creator, using dynamo or using Kinesis or using security hub. We have to be there, right? So we've kind of followed that pathway because of they're putting data in those places, part of our job is provide that insight and intelligence to our customers around those data assets, wherever they are. And so we build a set of capabilities and expertise around the broader AWS platform. So that we could argue that we can help you, whether you keep your data in S3 whether you keep it Dynamo, whether you keep it in EMR, RDS, Aurora, Athena the list goes on and on. We want to be that expert partner for you to kind of help you know your data and then tend to take action on your data. >> So the question about data security in general, obviously as you know, there are these major stories of tremendous breach that's right. >> Yep. >> Stayed afterwards, in some cases. >> Bad guys. >> Yeah, really bad guys and bad smart guys, unfortunately and persistent to say the least. How do you work with your clients in an environment like that? Where, you know, these threats are never ending, >> Yep. >> They're becoming more and more complex. And the tools that you have are certainly robust but at the end of the day, it's very difficult. If not impossible to say a 100% bulletproof, right? >> Yeah. >> It's if you are absolutely safe with us. But you still try, you give these insurances because of your sophistication that, should give people some peace of mind. Again, it's a tough battle your in. >> Yeah. So I think the first rule of fight club is that, to solve a problem, you need to know the problem, right? You can't fix what you can't find, right? So if you're unaware that there's a potential compromise in your data, potential risk in your data maybe you have passwords in a certain data store and there's no security around that. You need to know that you have passwords in a certain data store and there's no security around that. >> Because unless you know that first, there's no ability for you to solve it. So the first part of what we do that kind of know your data that K-Y-D, is we help organizations understand what data do they have that potentially is at risk, may violate a regulatory requirement like GDPR or CCPA, things of that sort. So that's kind of the first level of value because you can't solve for something you can't, you're unaware of, right? You need to be able to see it and you need to be able to understand it. And so our ability to kind of both understand your data and understand what it is, why it is, whose it is where it came from, the risk around it lets you take action on that. Now we don't stop there. We don't stop at just helping you kind of find the problem. We also help you understand if there's additional levels of exposure. Do you have access control around that data for instance. If that data is open to the world and you just put a bunch of passwords there or API keys or credentials, that's a problem. So we provide this kind of holistic view into your data and to some of the security controls. And then most importantly, through our application platform our own apps, we provide ways for you to take action on that. And that action could take many forms. It could be about remediating where you delegate to a security owner and say, hey, I want you to delete that data. Or I want you to encrypt that data. It could be something more automated where it just encrypts everything. But again, part of the value and virtue of our platform is that we both help you identify the potential risk points. And then we give you in the form of apps that sit on top of our platform, ways to take action on it, to secure it, to reduce it, to minimize the risk. >> Because these threats are ever evolving. Can you give us a little, maybe inside peek under the tent here, a bit about what you're looking at in terms of products or services down the road here. So if somebody is thinking, okay. What enhanced tools might be at my disposal in the near term or even in the longterm to try and mitigate these risks. Can you give us an idea about some things you guys are working on? >> Yeah. So the biggest thing we're working on I've already kind of hinted at this is really the kind of first in industry platform, in our category companies that look at data and by platform i mean, something like where you can introduce apps. So AWS has a platform. People can introduce additional capabilities on top of AWS. In the data discovery classification arena, that had never been the case because the tools were very, very old. So we're introducing these apps and these apps allow you to take a variety of actions. I've mentioned a few of them, there's retention. You can do encryption, you can do access control, you could do remediation, and you could do breach impact analysis. Each of these apps is kind of an atomic unit of functionality. So there's no different than on your iPhone or your Android phone. You may have an Uber app, when you click on it, all of a sudden your phone looks like an Uber application. You may have an app focused on Salesforce, you click on it, all of a sudden your phone looks like a Salesforce application. And so what we've done is we've kind of taken this kind of data discovery, classification and intelligence mechanism that kind of K-Y-D I referenced. And then we built a whole app platform. And what we're going to start announcing over the coming months, is more and more apps in the field of privacy, in the fields of data security or protection, and even the fields of data value what we call perspective and that's and we're actually coming out with an announcement shortly on this app marketplace. And there'll be BigID building apps, but you know what, there's going to be a lot of third parties building apps. So companies that do intrusion detection and integrations and all kinds of other things are also building apps on BigID. And that's an exciting part of what you're going to see coming from us in the coming weeks. >> Great. Well, thanks for the sneak peek and wait I feel like I just barely scratched the surface of it. Governance, compliance, right? Regulation, you have so many balls in the air but obviously you're juggling them quite well and we wish you continued success, job well done. Thanks, Dimitri. >> Dimitri: Thank you very much for having me. (upbeat music)

(upbeat music) >> Well good to have you with us here as we continue the AWS startup showcase and we're joined now by the CEO of BigID, Dmitri Sirota. And Dmitri good afternoon to you? How are you doing today? >> I'm pretty good, it's Friday, it's sunny, it's warm, I'm doing well. >> Then that's a good start, yeah. Glad to have you with us here. First off, just about BigID and when you look at I would assume these accolades are, they are quite a showcase for you. Well economic forum technology pioneer. Forbes cloud 100, business insider startup the watch. I mean, you are getting a lot of attention, obviously for... >> Yep. >> And well-deserved, but when you see these kinds of recognitions coming your way- >> Yep. >> First of what does that do to inspire, motivate and fuel this great passion that you have? >> Yeah, look I think all of these recognitions help, I think affirm, I think what we aspire to be right? Provide the preeminent solution for helping organizations understand their data and in so doing, be able to address problems in privacy and protection and perspective. And I think that these recognitions are part of that as our customers, as our partners like AWS. So they're all part of that ad mixture. And I think they contribute to a sense that we're doing some pioneering work, right as they work from the world economic forum recognized. So I think it's important. I think it's healthy. It encourages kind of cooperative spirit at the company. And I think it's, you know, it's very encouraging for us to continue and build. >> So let's talk about BigID, a little bit for our viewers who might not be too familiar. You are a fairly new company, raised 200 million so far, five years of operations coming up on five years. >> Yep. >> But talk about your sweet spot in terms of the variety of services they provided in terms of protection and security. >> Yeah, sure. So we were founded with really this kind of precept that organizations need to have a better understanding of their data. I think when we got started about five years ago. Most organizations had some view of their data, maybe a few of their files, maybe their databases. What changed is the emerging privacy regulations like GDPR and CCPA later forced companies to rethink their approach to data understanding data knowledge, because part of the kind of the core consumption of privacy is that you and me and other individuals have a right to their data the data actually belongs to us. Similar to when you deposit a check in a bank. That money you deposited is yours. If you ever want to withdraw it, the bank has to give it back to you. And in a similar way, these privacy regulations require organizations to be able to give back your data or delete it or do other things. And as it happens there was no real technology to help companies do that, to help companies look across their vast data estates and pick out all the pieces of information all the detritus that could belong to Dimitri. So it could be my password, it could be my social security, it could be my click stream, it could be my IP address, my cookie. And so we developed from the ground up a brand new approach to technology that covers the data center and the cloud, and allow organizations to understand their data at a level of detail that never existed before. And still, I would argue doesn't exist today. Separate from BigID. And we describe that as our foundational data discovery in depth, right? We provide this kind of multidimensional view of your data to understand the content and the context of the information. And what that allows organizations to do is better understand the risk better meet certain regulatory requirements like GDPR and CCPA. But ultimately also get better value from their data. And so what was pioneering about us is not only that level of detail that we provided almost like your iPhone provides you four cameras to look at the world. We provide you kind of four lenses to look at your data. But then on top of that we introduced a platform that allowed you to take action on what you found. And that action could be in the realm of privacy so that you could solve for some of the privacy use cases like data rights or consent or consumer privacy preferences or data protection data security, so that you can remediate. You can do deal with data lifecycle management. You could deal with encryption, et cetera. Or ultimately what we call a data governance or data perspective, this idea of being able to get value from your data but doing so in a privacy and security preserving way. So that's kind of the conception we want to help you know, your data. And then we want to help you act on your data so that your data is both secure. It's both compliant , but ultimately you get value from your data. >> Now we get into this, helping me know my data better because you you've talked about data you know and data you don't right? >> Dimitri: Yeah. >> And you're saying there's a lot more that we don't or a company doesn't know. >> Dimitri: Yeah. >> Than it's aware of. And I find that still kind of striking in this day and age. I mean with kind of the sophistication of tools that we have and different capabilities that I think give us better insight. But I'm still kind of surprised when you're saying there's all a lot of data that companies are housing that they're not even aware of right now. >> They're not and candidly they didn't really want to be for a long, long time. I think the more you know sometimes the more you have to fix, right? So there needed to be a catalyzing event like these privacy regulations to essentially kind of unpack, to force a set of actions because the privacy regulation said, no, no, no you need to know whether you want to or not. So I think a lot of organizations for years and years outside of a couple of narrow fields like HIPAA, PCI unless there was a specific regulation, they didn't want to know too much. And as a consequence there, wasn't really technology to keep up with the explosion in data volumes and data platforms. Right? Think about like AWS didn't exist when a lot of these technologies were first built in the early 2000's. And so we had to kind of completely re-think things. And one thing I'll also kind of highlight is the need or necessity is not just driven by some of these emerging privacy regulations, but it's also driven by the shift to the cloud. Because when you have all your data on a server in a data center in New Jersey, you could feel a false sense of security because you have doors to that data center in New Jersey and you have firewalls to that data center in New Jersey. And if anybody asks you where your sensitive data you could say, it's in New Jersey! But now all of a sudden you move it into the cloud and data becomes the perimeter, right? It's kind of naked and exposed it's out there. And so I think there's a much greater need and urgency because now data is kind of in the ethos in the air. And so organizations are really kind of looking for additional ability for them to both understand contextualize and deal with some of the privacy security and data governance aspects of that data. >> So you're talking about data obviously AWS comes to mind, right? >> Dimitri: Yeah. And the relationship that you have with them it's been a couple of years in the making things are going really well for you and ultimately for your customers. What is it about this particular partnership that you have with AWS that you think has allowed you to bring that even more added value at the end of the day to your customer base? >> Look, our customers are going to AWS because its simplicity to kind of provision their applications, their services, the cost is incredibly attractive, the diversity of capabilities that AWS provides our customers. And so we have a lot of larger and midsize and even smaller organizations that are going to AWS. And it's important for us to be where our customers are. And so if our customers are using Red Sheriff, or using S creator, using dynamo or using Kinesis or using security hub. We have to be there, right? So we've kind of followed that pathway because of they're putting data in those places, part of our job is provide that insight and intelligence to our customers around those data assets, wherever they are. And so we build a set of capabilities and expertise around the broader AWS platform. So that we could argue that we can help you, whether you keep your data in S3 whether you keep it Dynamo, whether you keep it in EMR, RDS, Aurora, Athena the list goes on and on. We want to be that expert partner for you to kind of help you know your data and then tend to take action on your data. >> So the question about data security in general, obviously as you know, there are these major stories of tremendous breach that's right. >> Yep. >> Stayed afterwards, in some cases. >> Bad guys. >> Yeah, really bad guys and bad smart guys, unfortunately and persistent to say the least. How do you work with your clients in an environment like that? Where, you know, these threats are never ending, >> Yep. >> They're becoming more and more complex. And the tools that you have are certainly robust but at the end of the day, it's very difficult. If not impossible to say a 100% bulletproof, right? >> Yeah. >> It's if you are absolutely safe with us. But you still try, you give these insurances because of your sophistication that, should give people some peace of mind. Again, it's a tough battle your in. >> Yeah. So I think the first rule of fight club is that, to solve a problem, you need to know the problem, right? You can't fix what you can't find, right? So if you're unaware that there's a potential compromise in your data, potential risk in your data maybe you have passwords in a certain data store and there's no security around that. You need to know that you have passwords in a certain data store and there's no security around that. >> Because unless you know that first, there's no ability for you to solve it. So the first part of what we do that kind of know your data that K-Y-D, is we help organizations understand what data do they have that potentially is at risk, may violate a regulatory requirement like GDPR or CCPA, things of that sort. So that's kind of the first level of value because you can't solve for something you can't, you're unaware of, right? You need to be able to see it and you need to be able to understand it. And so our ability to kind of both understand your data and understand what it is, why it is, whose it is where it came from, the risk around it lets you take action on that. Now we don't stop there. We don't stop at just helping you kind of find the problem. We also help you understand if there's additional levels of exposure. Do you have access control around that data for instance. If that data is open to the world and you just put a bunch of passwords there or API keys or credentials, that's a problem. So we provide this kind of holistic view into your data and to some of the security controls. And then most importantly, through our application platform our own apps, we provide ways for you to take action on that. And that action could take many forms. It could be about remediating where you delegate to a security owner and say, hey, I want you to delete that data. Or I want you to encrypt that data. It could be something more automated where it just encrypts everything. But again, part of the value and virtue of our platform is that we both help you identify the potential risk points. And then we give you in the form of apps that sit on top of our platform, ways to take action on it, to secure it, to reduce it, to minimize the risk. >> Because these threats are ever evolving. Can you give us a little, maybe inside peek under the tent here, a bit about what you're looking at in terms of products or services down the road here. So if somebody is thinking, okay. What enhanced tools might be at my disposal in the near term or even in the longterm to try and mitigate these risks. Can you give us an idea about some things you guys are working on? >> Yeah. So the biggest thing we're working on I've already kind of hinted at this is really the kind of first in industry platform, in our category companies that look at data and by platform i mean, something like where you can introduce apps. So AWS has a platform. People can introduce additional capabilities on top of AWS. In the data discovery classification arena, that had never been the case because the tools were very, very old. So we're introducing these apps and these apps allow you to take a variety of actions. I've mentioned a few of them, there's retention. You can do encryption, you can do access control, you could do remediation, and you could do breach impact analysis. Each of these apps is kind of an atomic unit of functionality. So there's no different than on your iPhone or your Android phone. You may have an Uber app, when you click on it, all of a sudden your phone looks like an Uber application. You may have an app focused on Salesforce, you click on it, all of a sudden your phone looks like a Salesforce application. And so what we've done is we've kind of taken this kind of data discovery, classification and intelligence mechanism that kind of K-Y-D I referenced. And then we built a whole app platform. And what we're going to start announcing over the coming months, is more and more apps in the field of privacy, in the fields of data security or protection, and even the fields of data value what we call perspective and that's and we're actually coming out with an announcement shortly on this app marketplace. And there'll be BigID building apps, but you know what, there's going to be a lot of third parties building apps. So companies that do intrusion detection and integrations and all kinds of other things are also building apps on BigID. And that's an exciting part of what you're going to see coming from us in the coming weeks. >> Great. Well, thanks for the sneak peek and wait I feel like I just barely scratched the surface of it. Governance, compliance, right? Regulation, you have so many balls in the air but obviously you're juggling them quite well and we wish you continued success, job well done. Thanks, Dimitri. >> Dimitri: Thank you very much for having me. (upbeat music)

from the cube studios in Palo Alto in Boston connecting with thought leaders all around the world this is a cube conversation LeBron welcome to the cube studio I'm John Ferrier here in Palo Alto in our remote coverage of the tech industry we are in our quarantine crew here getting all the stories in the technology industry from all the thought leaders and all the newsmakers we've got a great story here about data data compliance and really about the platforms around how enterprises are using data I've got two great guests and some news to announce Kieran our CEO is the vice president of business development with elation and William Murphy vice president of technology alliances of big ID got some interesting news a integration partnership between the two companies really kind of compelling especially now as people have to look at the cloud scale what's happening in our world certainly in the new realities of kovin 19 and going forward the role of data new kinds of applications and the speed and agility are gonna require more and more automation more reality around making sure things are in place so guys thanks for coming on appreciate it Kieran William thanks for joining me thank you thank you so let's take a step back elation you guys have been on the cube many times we've been following you guys been a leader and Enterprise catalog a new approach it's a real new technology approach and methodology and team approach to building out the data catalogues so talk about the Alliance here why what's the news why you guys in Creighton is integration partnership well let me start and thank you for having us today you know as you know elation launched the data catalog a category seven years ago and even today we're acknowledging the leader as a leader in that space you know and but we really began with the core belief that ultimately data management will be drive driven more and more by business demand and less by information suppliers so you know another way to think about that is you know how people behave with data will drive how companies manage data so our philosophy put very simply is to start with people and not first not data and our customers really seem to agree with this approach and we've got close to 200 brands using our data you know our tool every single day to drive vibrant data communities and and foster a real data culture in the environment so one of the things that was really exciting to us is the in been in data privacy by large corporate customers to get their arms around this and you know we really strive to improve our ability to use the tool inside you know these enterprises across more use cases so the partnership that we're announcing with big ID today is really you know Big Ideas the leading modern data intelligence platform for privacy and what we're trying to do is to bring bring a level of integration between our two technologies so that enterprises in better manage and scale their their data privacy compliance capability William talked about big ID what you guys are doing you guys also have a date intelligence platform we've been covering gdpr for a very long time I once called I won't say it again because it wasn't really that complimentary but the reality has sit in and they and the users now understand more than ever privacy super important companies have to deal with this you guys have a solution take a minute to explain big-big ID and what you guys are doing yeah absolutely so our founders Demetri Shirota and Nimrod Beck's founded big idea in 2016 Sam you know gdpr was authored and the big reason there is that data changed and how companies and enterprises doubled data was changing pretty much forever that profound change meant that the status quo could no longer exist and so privacy was gonna have to become a day-to-day reality to these enterprises but what big ID realized is that to start to do to do anything with privacy you actually have to understand where your data is what it is and whose it is and so that's really the genesis of what dimitri nimrod created which which is a privacy centric data discovery and intelligence platform that allows our enterprise customers and we have over 70 customers in the enterprise space many within the Fortune hundred to be able to find classify and correlate sensitive data as they defined it across data sources whether its own Prem or in the cloud and this gives our users and kind of unprecedented ability to look into their data to get better visibility which if both allows for collaboration and also allows for real-time decision-making a big place with better accuracy and confidence that regulations are not being broken and that customers data is being treated appropriately great I'm just reading here from the release that I want to get you guys thoughts and unpack some of the concepts on here but the headline is elation strengthens privacy capabilities with big ID part nur ship empowering organizations to mitigate risks delivering privacy aware data use and improved adherence to data privacy regulations it's a mouthful but the bottom line is is that there's a lot of stuff to that's a lot of complexity around these rules and these platforms and what's interesting you mentioned discovery the enterprise discovery side of the business has always been a complex nightmare I think what's interesting about this partnership from my standpoint is that you guys are bringing an interface into a complex platform and creating an easy abstraction to kind of make it usable I mean the end of the day you know we're seeing the trends with Amazon they have Kendre which they announced and they're gonna have a ship soon fast speed of insights has to be there so unifying data interfaces with back-end is really what seems to be the pattern is that the magic going on here can you guys explain what's going on with this and what's the outcome gonna be for customers yeah I guess I'll kick off and we'll please please chime in I think really there's three overarching challenges that I think enterprises are facing is they're grappling with these regulations as as we'll talked about you know number one it's really hard to both identify and classify private data right it's it's not as easy as it might sound and you know we can talk a little bit more about that it's also very difficult to flag at the point of analysis when somebody wants to find information the relevant policies that might apply to the given data that they're looking to it to run an analysis on and lastly the enterprise's are constantly in motion as enterprises change and by new businesses and enter new markets and launch new products these policies have to keep up with that change and these are real challenges to address and you know with Big Idea halation we're trying to really accelerate that compliance right with the the you know the combination of our tools you know reduce the the cost and complexity of compliance and fundamentally keep up through a single interface so that users can know what to do with data at the point of consumption and I think that's the way to think about it well I don't know if you want to add something to that absolutely I think when Karen and I have been working on this for actually many months at this point but most companies don't have a business plan of just saying let's store as much data as possible without getting anything out of it but in order to get something out of it the ability to find that data rapidly and then analyze it so that decision makers make up-to-date decisions is pretty vital a lot of these things when they have to be done manually take a long time they're huge business issues there and so the ability to both automate data discovery and then cataloging across elation and big ID gives those decision makers whether the data steward the data analyst the chief data officer an ability to really dive deeper than they have previously with better speed you know one of the things that we've been talking about for a long time with big data as these data links and they're fairly easy to pull I mean you can put a bunch of data into a corpus and you you act on them but as you start to get across these silos there's a need for you know getting a process down around managing just not only the data wrangling but the policies behind it and platforms are becoming more complex can you guys talk about the product market fit here because there's sass involved so there's also a customer activity what's the product market fit that you guys see with this integration what are some of the things that you're envisioning to emerge out of this value proposition I think I can start I think you're exactly right enterprises have made huge investments in you know historically data warehouses data Mart's data lakes all kinds of other technology infrastructure aimed at making the data easier to get to but they've effectively just layered on to the problem so elations catalog has made it incredibly much more effective at helping organizations to find to understand trust to reuse and use that data so that stewards and people who know about the data can inform users who may need need to run a particular report or conduct a specific analysis can accelerate that process and compress the time the insights much much more than then it's are possible with today's technologies and if you if you overlay that on to the data privacy challenge its compounded and I think you know will it would be great for you to comment on what the data discovery capability it's a big ID do to improve that that even further yeah absolutely so as to companies we're trying to bridge this gap between data governance and privacy and and John as you mentioned there's been a proliferation of a lot of tools whether their data lakes data analysis tools etc what Big Idea is able to do is we're looking across over 70 different types of data platforms whether they be legacy systems like SharePoint and sequel whether they be on pram or in the cloud whether it's data at rest or in motion and we're able to auto populate our metadata findings into relations data catalog the main purpose there being that those data stewards and have access to the most authentic real time data possible so on the terms of the customer value they're going to see what more built in privacy aware features is its speed but you know what I mean the problem is compounded with the data getting that catalog and getting insights out of it but for this partnership is it speed to outcome what does the outcome that you guys are envisioning here for the customer I think it's a combination of speed as you said you know they can much more rapidly get up to speed so an analyst who needs to make a decision about specific data set whether they can use it or not and know at the point of analysis if this data is governed by policies that has been informed by big IDs so the elation catalog user can make a much more rapid decision about how to use that the second piece is the complexity and costs of compliance they can really reduce and start to winnow down their technology footprint because with the combination of the discovery that big ID provides the the the ongoing discovery the big ID provides and the enterprise it data catalog provided violation we give the framework for being able to keep up with these changes in policies as rules and as companies change so they don't have to keep reinventing the wheel every time so we think that there's a significant speed time the market advantage as well as an ability to really consolidate technology footprint well I'll add to that yeah yeah just one moment so elation when they helped create this marketplace seven years ago one of the goals there and I think we're Big Ideas assisting as well as the trusting confidence that both the users of these software's the data store of the analysts have and the data that they're using and then the the trust and confidence are building with their end consumers is much better knowing that there is the this is both bi-directional and ongoing continuously you know I've always been impressed with relations vision it's big vision around the role of the human and data and it's always been impressive and yeah I think the world spinning in that direction you starting to see that now William I want to get your thoughts with big id because you know one of the things is challenging out there from what we're hearing is you know people want to protect the sensitive data obviously with the hacks and everything else and personal information there's all kinds of regulation and believe me state by state nation by nation it's crazy complex at the same time they've got to ensure this compliance tripwires everywhere right so you have this kind of nested complex web of stuff and some real security concerns at the same time you want to make data available for machine learning and for things like that this is the real kind of things that the problem has twisted around so if I'm an enterprise I'm like oh man this is a pain in the butt so how are you guys seeing this evolve because this solution is one step in that direction what are some of the pain points what are some of the examples can you share any insights around how people are overcoming that because they want to get the data out there they want to create applications that are gonna be modern robust and augmented with whether it's augmented AI of some sort or some sort of application at the same time protecting the information and compliance it's a huge problem challenge your thoughts absolutely so to your point regulations and compliance measures both state-by-state and internationally they're growing I mean I think when we saw GDP our four years ago in the proliferation of other things whether it be in Latin America in Asia Pacific or across the United States potentially even at the federal level in the future it's not making it easier to add complexity to that every industry and many companies individually have their own policies in the way that they describe data whether what's sensitive to them is it patent numbers is it loyalty card numbers is it any number of different things where they could just that that enterprise says that this type of data is particularly sensitive the way we're trying to do this is we're saying that if we can be a force multiplier for the individuals within our organization that are in charge of the stewardship over their data whether it be on the privacy side on the security side or on the data and analytics side that's what we want to do and automation is a huge piece of this so yes the ID has a number of patents in the machine learning area around data discovery and classification cluster analysis being able to find duplicate of data out there and when we put that in conjunction with what elations doing and actually gave the users of the data the kind of unprecedented ability to curate deduplicate secure sensitive data all by a policy driven automated platform that's actually I think the magic gear is we want to make sure that when humans get involved their actions can be made how do I say this minimum minimum human interaction and when it's done it's done for a reason of remediation so they're there the second step not the first step here I'll get your thoughts you know I always riff on the idea of DevOps and it's a cloud term and when you apply that the data you talk about programmability scale automation but the humans are making calls whether you're a programmer and devops world or to a data customer of the catalog and halation i'm making decisions with my business I'm a human I'm taking action at the point of design or whatever this is where I think the magic can happen your thoughts on how this evolves for that use case because what you're doing is you're augmenting the value for the user by taking advantage of these things is is that right or am i around the right area yeah I think so I think the one way to think about elation and that analogy is that the the biggest struggle that enterprise business users have and we target the the consumers of data we're not a provider to the information suppliers if you will but the people who had need to make decisions every single day on the right set of data we're here to empower them to be able to do that with the data that they know has been given the thumbs up by people who know about the data connecting stewards who know about the subject matter at hand with the data that the analyst wants to use at the time of consumption and that powerful connection has been so effective in our customers that enabling them to do in our analytical work that they just couldn't dream of before so the key piece here is with the combination with big ID we can now layer in a privacy aware consumption angle which means if you have a question about running some customer propensity model and you don't know if you can use this data or that data the big ID data discovery platform informs the elation catalog of the usage capabilities of that given data set at the moment the analyst wants conduct his or her analysis with the appropriate data set as identified by the stewards and and as endorsed by the steward so that point in time is really critical because that's where the we can we can fundamentally shrink the decision sight yeah it's interesting and so have the point of attack on the user in this case the person in the business who's doing some real work that's where the action is yeah it's a whole nother meaning of actionable data right so you know this seems to where the values quits its agility really it's kind of what we're talking about here isn't it it is very agile on the differentiation between elation and big idea in what we're bringing to the market now is we're also bringing flexibility and you meant that the point of agility there is because we allow our customers to say what their policies are what their sense of gait is define that themselves within our platforms and then go out find that data classify and catalog at etc like that's giving them that extra flexibility the enterprise's today need so that it can make business decisions and faster and I actually operationalize data guys great job good good news it's I think this is kind of a interesting canary in the coal mine around the trends that are going on around how data is evolving what's next how you guys gonna go to market partnership obviously makes a lot of sense technical integration business model integration good fit what's next for you guys I'm sorry I mean I think the the great thing is that you know from the CEO down our organizations are very much aligned in terms of how we want to integrate our two solutions and how we want to go to market so myself and will have been really focused on making sure that the skill sets of the various constituents within both of our companies have the level of education and knowledge to bring these results to bear coupled with the integration of our two technologies well your thoughts yeah absolutely I mean between our CEOs who have a good cadence to care to myself who probably spend too much time on the phone at this point we might have to get him a guest bedroom or something alignments a huge key here ensuring that we've enabled our field to - and to evangelize this out to the marketplace itself and then doing whether it's this or our webinars or or however we're getting the news out it's important that the markets know that these capabilities are out there because the biggest obstacle honestly to adoption it's not that other solutions or build-it-yourself it's just lack of knowledge that it could be easier it could be done better that you could have you could know your data better you could catalog it better great final question to end the segment message to the potential customer out there what it what about their environment that might make them a great prospect for this solution is it is it a known problem is it a blind spot when would someone know to call you guys up in this to ship and leverage this partnership is it too much data as it's just too much many applications across geographies I'm just trying to understand the folks watching when it's an opportunity to call you guys welcome a relation perspective there that can never be too much data they the a signal that may may indicate an interest or a potential fit for us would be you know the need to be compliant with one or more data privacy regulations and as well said these are coming up left and right individual states in the in addition to the countries are rolling out data privacy regulations that require a whole set of capabilities to be in place and a very rigorous framework of compliance those those requirements and the ability to make decisions every single day all day long about what data to use and when and under what conditions are a perfect set of conditions for the use of a data catalog evacuation coupled with a data discovery and data privacy solution like big I well absolutely if you're an organization out there and you have a lot of customers you have a lot of employees you have a lot of different data sources and disparate locations whether they're on prime of the cloud these are solid indications that you should look at purchasing best-of-breed solutions like elation and Big Ideas opposed to trying to build something internally guys congratulations relations strengthening your privacy capabilities with the big ID partnership congratulations on the news and we'll we'll be tracking it thanks for coming I appreciate it thank you okay so cube coverage here in Palo Alto on remote interviews as we get through this kovat crisis we have our quarantine crew here in Palo Alto I'm John Fourier thanks for watching [Music] okay guys

okay we're back live here at the OpenStack summit in Portland Oregon I'm John furry the founder SiliconANGLE comment rose mykos Dave a latte from Wikibon org this is silicon angles the cube our flagship program we go out to the events and extract the signal from the noise and certainly here OpenStack there's not a lot of noise but a lot of signal a lot of developers a lot of use cases really really the Alpha geeks the practitioner is really putting new technology into place to power this modern era of computing cloud mobile and social David Floria we're here with Demetri stilly at us from nudge networks and mountain view welcome to the cube thank you David I want to get your take on this before we set up this interview because honestly we've heard from right scale there in the management side just previous we've had Rackspace on earlier there on the Omni on the provider side we had big switch-on software-defined networking and now Dimitri's company the software is eating the world what's your take on the SDN market right now relative to OpenStack relative to open saying well what you're clearly wanting to do in every part of it is separate out all of the different layers and you ought to be able to separate out the physical and the the logical and the the software is the way that that's going to be done so instead of having to have a switch which is a piece of hardware and the software you want to separate the two out so that you have the logical function and the physical function from from the two pieces so that's very important to be able to contribute to every layer take new technologies along with you and then define the software element of that as the piece that you keep constant as technologies themselves adjust so durable code we walk manageable and build on and we clean can take advantage of new technologies as they come along and obviously I coming back to you what are you contributing what I think needs to be contributing was the white space in that area that you're going after right so see when people started thinking about the cloud and OpenStack and to always kind of think they they quickly realize that the network is a fundamental piece right you have to start with the network you have to interconnect your components and so on the angle that we are taking is yes it's good with in your data center within your cloud you have to create this network services interconnect applications and so on but much more importantly you need to be able to dynamically connect these applications with your existing network services right so you have a large amount of enterprise VPN services you have hybrid clouds coming out so you need to be able the moment you activate a network service in the data center to be able to seamlessly interconnect this now with your enterprise side with other network services in other data centers in other clouds and so on right so the network is always a network of networks and we have to bring everything together we cannot just restrict ourselves with is the confinements of a single administrative model so that's that's a fundamental part of what we are trying to to bring here together okay and so how are you fitting in with the the network layer right so our view is say that first of all we need to talk both both languages if you don't think of it as a as a translation thing right so we need to understand the language of the cloud we need to understand the language of the application developers in the cloud they want to use some abstract mechanism to define their network services and install them if you want in the hypervisors and OpenStack quantum seems to be the prevalent way to do that so that's language number one but then we have all these thousands of networks out there where their language is bgp so what we are doing is we are marrying the two we allow you to codon define services in OpenStack and we allow you to define the mekinese between interconnect the service is automatically with all the other networks that are out there right so I call it sometimes we are just translating between languages all right a language translator live from an application point of view they want to consume resources and previously networks and the computers were the main things they consumed but it seems now that sorry computing and storage with the main things they consumed but it now it seems that networks themselves have to pay a much bigger role in providing a quality of service to those places Rick you've got a quality of service down in the nano seconds when you get to the server level and used to have milliseconds for the for the storage side it's now coming down to micro second what are you doing to make sure that that quality of service no it is not just the bandwidth but it's also the latency are you planning to marry that see the weight datacenter networks of all these people are quickly realizing that the same if you want principles that we used in order to build the Internet itself can be used inside the data center so if you think about the internet right in the internet there is voice services that is video services there is all these other services running and they are actually running by assuming you have a well-engineered IP network and then you run the service is at the edges if you want all that you push all the intelligence at the edges it's the same thing where the network on the data center is going the data center network becomes a very scalable IP fabric it it is very well managed if you want very well traffic engineer and you push the edges at the hypervisors you push essentially the services at the hypervisors where traffic is differentiated so if you see for example a tenant misbehaving you are going to block him at the hypervisor layer if you're going to provide us or map different tenants to different classes of traffic it's happening at the hypervisor so the center of the network behaves like a scalable IP fabric and all the intelligence it's pushed around the edges and the reason you want to do that is because this allows you the ultimate scalability right the network or doesn't need to know about every flow that goes into the through through the corner of the network there right you don't need to know the IP addresses of virtual machines you don't need to know what individual virtual machines no need to know I want to do there you just need to worry about aggregates so you can engineer and scale the core make it very cheap and because you make it very tip you can increase the capacity at the core and you can say distribute all the intelligence at the edges of the network right but so you said that you can do the hypervisor and that's obviously on the compute side that side of it but what about the data network isn't that a don't you need to regulate the priorities and flex all the data through and isn't that today that's that's a very big part of it yes but it is still happening at the hypervisor right the the first touch of it enough an application with a network it is not anymore the top of rack sheets let's say on the data center but it does it is actually the hypervisor virtual sheets right that's the first time that you see a packet when a packet comes out of a virtual machine the first time you see it is at the hypervisor itself and at this layer when the first time you see the bucket of the hypervisor itself is where you apply all your policies right in other words the edge of the network is not the hardware is not the switch on the top of rack the edge of the network is inside the server now ok yeah ok excellent so I want to ask you we have a couple minutes left here I wanted we have two minutes less I want to get your perspective on the state of the business around OpenStack what is your view ok because your chief architects you're looking at the tech yes and you but you have to intersect the business objectives what are you seeing as the core business drivers that are that are causing you to make your technology in a certain way right so it's clear that what people want to do is they they want to provide this ability to their end users to consume services rapidly right that is what is driving this call OpenStack development and more important the community came together in order to unify view on the core engine and the core AP is in order to make this consumption of services very easy and in order to allow the application developers to move from one cloud to the other and so on right what we do is what we try to do is in addition is expanding view on this model amazing the network as consumable as the storage and compute facilities right and I'm not talking just about the network in the data center I'm talking about also the network in the way that the service in the data center of a cloud provider will interconnect with the enterprise read if you see then the next if you want Holy Grail that everybody is talking about is the hybrid cloud the hybrid cloud is only possible if you can connect the network and the services in the service provider cloud with a network and services in the in the in the enterprise itself right so they what links the two together is the network so we have to make this network to be consumable final question for you is actually DevOps is a mindset we heard from right scale that that adoption is in mainstream enterprises and service providers but the word infrastructure as code is becoming more popular outside of the the geeks and the album the architects the coders what in your mind how would you describe infrastructure as code to the folks out there give it a try it's okay no right answer it's a moving target that's what it is realities it's that the applications and code is a living organization it's constantly changing and you cannot assume at any point it's static right it's not there it's not the good old days if you want and that's what it really means right it's a living organism it it will constantly adapt to the new to the new requirements out there like switches in the old days you knew exactly ports and you you knew i was going now it's all kinds of weird stuff happening right it's all stuff you you have to be you you have to accept change if you want right so it's the actually there is a there is an okay Isaac Asimov code right there another the author of the science fiction yes that's the only constant is change yeah we should be no project just on the network genome here Software Defined Networking Dmitry stylianos thanks for jumping inside the cube again you're here like with a lot of the chief architects making things happen congratulations thanks for joining us thank you we'll be right back with more analysis from David's lawyer after the at break on a breakdown day 1 and day chu here in more depth from the analysts here at opens Dec 2 SiliconANGLE Gibbons exclusive coverage of OpenStack summit be right back