>>Welcome back everyone to the Cube's live coverage of snowflake summit 22, we are live in Las Vegas. Caesar's forum, Lisa Martin, Dave Valante, Dave. This is day one of a lot of wall action on the, >>Yeah. A lot of content on day one. It, it feels like, you know, the, the reinvent fire hose yes. Of announcements feels like a little mini version of that. >>It does. That's a good, that's a good way of putting it. We've been unpacking a lot of the news. That's come out, stick around, lots more coming. We've got two guests joining us from tech systems global services. Please welcome Devon. Pania managing director and Shai Sheva of us senior and Shire. Shrivastava senior manager, guys. Great to have you on the cube. >>Thank you so much. Good to see you. And it's great to be in person. Finally, it's been a long UE, so excited to be here. >>Agree. The keynote this morning was not only standing room only, but there was an overflow area. >>Oh my goodness. We have a hard time getting in and it is unbelievable announcement that we have heard looking forward for an exciting time. Next two days here >>Absolutely exciting. The, the cannon shotgun of announcements this morning was amazing. The innovation that has been happening at snowflake and you know, this clearly as partner has been, it just seems like it's the innovation flywheel is getting faster and faster and faster. Talk to us a little bit, Devon about tech systems. Give us the audience a little bit of an overview of the company, and then talk to us about the partnership with snowflake. >>Sure. Thank you. Lisa tech system global services is a full stack global system integrator working with 8% of fortune 500 customers helping in accelerating their business as well as technology modernization journey. We have been a snowflake partner since 2019, and we are one of the highest accredited sales and technical certification with snowflake. And that's what we have earned as a elite partner or sorry, emerging partner with snowflake last year. And we are one of the top elite partner as well. >>Yeah. So since 2019, I mean, in the keynote this morning, Frank showed it. I think Christian showed it as well in terms of the amount of, of change innovation that's happened since 2019 Ellen, we were talking before we went live to share about the, the last two years, the acceleration of innovation cloud adoption digital transformation. The last two years is kind of knock your head back. You need a yeah. A whiplash collar to deal with that. Talk about what you've seen in the last three years, particularly with the partnership and how quickly they are moving and listening to their customers. >>Yeah. Yeah. I think last two years really has given pretty much every organization, including us and our customers a complete different perspective. And that's, that's the exact thing which Christian was talking about, you know, disruption, that's the that's that has been the core message, which we have seen and we've got it from the customers. And we have worked on that right from the get go. We have, you know, all our tools and technology. We are working hand in hand with snowflake in terms of our offerings, working with customers, we have tools. We talk about, you know, accelerators quote unquote that's that helps our customers, you know, to take it from on-prem systems to all the way to the snowflake data cloud and that too, you know, fraction of seconds. You talk about data, you talk about, you know, code conversion, you talk about data validation. So, you know, there are ample amount of things, you know, in terms of, you know, innovation, all workload, I've heard, you know, those are the buzzwords today, and those are like such an exciting time out here. >>So before the pandemic, you know, digital transformation, it was, it was sort of a thing, but it was, it was also a lot of complacency around it. And then of course, if you weren't in a digital business, you were out of the business and boom. So you talked to bang about the stack. You guys obviously do a lot in cloud migration. What's changed in cloud migration. And how is the stack evolving to accommodate that? >>That's a great question there when last two years, it's absolutely a game changer in terms of the digital transformation. Can we believe that 90% of world's data that we have produced and captured is in last two years? It's, isn't that amazing? Right. And what IDC is predicting by 20 25, 200 terabytes of data is going to be generated. And most of them is going to be unstructured. And what we are fascinated about is only 0.5% of unstructured data is currently analyzed by the organization to look at the immense opportunity in front of us and with Snowflake's data cloud, as well as some of the retail data cloud finance and healthcare data cloud launching, it's going to immensely help in processing that unstructured data and really bring life to the data in making organization and market leader. >>Quick, quick fall, if I could, why is, is such a small, why is so much data dark and not accessible to organizations? What's >>The, that's a, that's a great question. I think it's a legacy that we have been trained such a way that data has to be structured. It needs to be modeled, but last decade or so we have seen note it hasn't required that way. And all the social media data being generated, how we communicate in a world is all arm structure, right? We don't create structured data and put it into the CSV and things like that. It's just a natural human behavior. And I think that's where we see a lot of potential in mining that dataset and bringing, you know, AI ML capabilities from descriptive to diagnostic analysis, moving forward with prescriptive and predictive analytics. And that's what we heard from snowflake in Christian announce, Hey, machine learning workload is going to be the key lot of investment happening last 10 years. Now it's going to, you know, capitalize on those ROI in making quick decisions. >>Should you talk to me about those customer conversations? Obviously they have they've transformed and evolved considerably. Yeah. But for customers that have this tremendous amount of unstructured data, a lot of potential as you talked about dung, but there's gotta be, it's gotta be a daunting task. Oh yeah. But these days, every company has to be a data company to be successful, to be competitive and to deliver the experience that the demanding consumers expect. Yeah. How do you start with customers? Where do they start? What's that conversation like and how can tech systems help them get rid of that kind of that daunting iceberg, if you will and get around >>It. Yeah, yeah, yeah, exactly. And I think you got the right point there. Unstructured data is just the tip of the iceberg we are talking about and we have just scratched little surface of it, you know, it's it's and as the one was mentioning earlier, it's, it's gone out those days, you know, where we are talking about, you know, gigabytes of data or, you know, terabytes. Now we are talking about petabytes and Zab bytes of data, and there are so many, and that's, that's the data insight we are looking for and what else, you know, what best platform you can get better than, you know, snowflake data cloud. You have everything in there. You talk about programmability today. You know, Christian was talking about snow park, you know, that, that gives you all the cutting edge languages. You talk about Java, you talk about scale, you talk about Python, you know, all those languages. >>I mean, there were days when these languages, you need to bring that data to a separate platform, process it and then connect it. Now it is right there. You can connect it and just process it. So I think that's, that's the beginning. And to start the conversation, we always, you know, go ahead and talk to the customers and, you know, understand their perspective, know where they want to start, you know, what are their pain points and where they, they want to go, you know, what's their end goal, you know, how they want to pro proceed, you know, how they want to mature in terms of, you know, data agility and flexibility and you know, how do they want to offer their customers? So that's, that's the basically, you know, that's our, the path forward and that's how we see it. >>And just, >>Just to add on top of that, Dave, sorry about that. What we have seen with our customers, the legacy mindset of creating the data silos, primarily because it's not that they wanted it that way, but there were limitations in terms of either the infrastructure or the unlimited scalability and flexibility and accent extensibility, right? That's why those kind of, you know, work around has been built. But with snowflake unified data cloud platform, you have everything in unified platform and what we are telling our customers, we need to eliminate the Datalog. Yes, data is a new oil, but we need to make sure that you eliminate the Datalog within the enterprise, as well as outside the enterprise to really combine then and get a, you know, valuable insight to be the market leader. >>You know, when the cube started, it was 2010. And I remember we went to Hadoop world and it was a lot of excitement around big data and yes, and it turned out, it didn't quite live up to the expectations. That's an understatement, but we, we learned a lot and we made some strides and, and now we're sort of entering this, this new era, but you know, the, the, the last era was largely this big batch job right now, today. You're seeing real time, you know, we've, we've projected out real time in, is gonna become more and more of a thing. How do you guys see the, the sort of data patterns changing and again, where do you see snowflake fitting in? >>Yeah. Great question. And they, what I would have to say, just in a one word is removing the complexity and moving towards the simplicity. Why the legacy solutions such as big data didn't really work out well, it had all the capabilities, but it was a complex environment. You need to really be, you know, knowing a lot of technical aspect of it. And your data analyst were struggling with that kind of a tool set. So with snowflake simplicity, you can bring citizen data scientists, you can bring your data scientists, you can bring your data analysts, all of them under one platform, and they can all mine the data because it's all sitting in the one environment, are >>You seeing organizations change the way they architect their data teams? And specifically, are you seeing a decentralization of data teams or you see, you mentioned citizen data scientists, are you seeing lines of business take more ownership of the data or is it still cuz again, that big data era created this data science role, the data engineering role, the data pipeline, and it was sort of an extension of the sort of EDW. We had a, a few people, maybe one or two experts who knew how to use the system and you build cubes. And it was sort of a, you know, in order of magnitude more complex than that could maybe do more, but are you seeing it being pushed out to the lines of business? >>That's a great question. And I think what we are seeing in the organization today is this time is absolutely both it and business coming together, hand in hand. It's not that, Hey, it, you do this data pipeline work. And then I will analyze this data. And then we'll, you know, share the dashboards to the CEO. We are seeing more and more cohesiveness within the organization in making a path forward in making the decision intelligence very, very rapid. So I think that's a great change. We don't need to operate in silos. I think it's coming together. And I think it's going to create a win-win combination for our >>Customers. Just to add one more point, what the one has mentioned. I think it's the world of data democratization we are talking about, you know, data is available there, insights. We need to pull it out and you know, just give it to every consumer of the organization and they're ready to consume it. They are, they are hungry. They are ready to take it. You know, that's, that's, that's something, you know, we need to look forward for. >>Well, absolutely look forward to it. And as you talked about, there's so much potential it's we see the tip of the iceberg, right? There's so much underneath that guys. I wish we had more time to continue unpacking this, but thank you so much for joining Dave and me on the program, talking about tech systems and snowflake, what you guys are doing together and what you're enabling those end customers to achieve. We appreciate your insights. >>Yeah. Thank you so much. It's an exciting time for us. And we have been, you know, partnering with snowflake on retail data cloud launch, as well as some upcoming opportunity with manufacturing and also the financial competency that we have earned. So I think it's a great time for us ahead in future. So >>Excellent. Lots to come from Texas systems guys. Thank you. We appreciate your time. Thank you. >>Appreciate it. Thank you. Let it snow. I would say let >>It snow, snow. Let it snow. I like that. You're heard of your life from hot Las Vegas for our guests and Dave ante. I'm Lisa Martin. We are live in Las Vegas. It's not snowing. It's very hot here. We're at the snowflake summit, 22 covering that stick around Dave and I will be joined where next guests in just a moment.