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NEEDS APPROVAL Nathalie Gholmieh, UCSD | ESCAPE/19


 

(upbeat music) >> From New York, it's the Cube covering escape nineteen. (upbeat music) >> Hello, welcome back to the cube coverage here in New York city for the first inaugural multi-cloud conference called escape 2019, I'm John Furrier host of the Cube, we're here with Natalie Gholmieh who's the data manager of data and integration services at the university of California, San Diego campus, office, >> sprawling data center, >> Yes (laughing) >> tons of IT, a lot of challenges. Welcome. >> Yeah, thank you for having me. >> So, thanks for taking the time out, you're a practitioner, you're here. Why are you at this conference, what are you hoping to gain from here? What interests you here at the multi-cloud escape conference. >> This conference is very much within the spirit of what we're trying to do. Uh- we- our CIO has directives which is, to avoid locking and to do multi-vendor orchestration um, an, uh, to go with containers first and open source wherever possible. So- and, I, this conference pretty much speaks to all of that. >> So, this is a really interesting data point because it seems the common thread is data and cloud is an integration thing so people are trying to find that integration point so they can have multiple vendors, multiple clouds. It seems like the multi-vendor were all back in the old days where you had multiple vendors, had a regimeous environment, data seems to be the lynch pin in all this. That's what you do- >> Right. >> How do you think about this because it used to be the big database ran the world, now you have lots of databases. You have applications, >> Right. >> they're everywhere now. >> Yeah, data is born in multiple systems but the data is also an asset right now, to all of the organizations including the university so, um, what we want to try to accomplish is to, uh, get all of this data possibly in one place or in multiple places and to be able to, to do analytics on top of this and this is what the value added processing over the data. >> What's exciting to you these days in the university? You guys try to change the business, what, what- it could be technology. What are the cool things that you like that you're working with right now or that you envision emerging? >> Yeah, so my team is currently building a platform to do an integrat- um, all of the data integration and we are planning to offer, this platform as a service to Developers to streamline and standardize, application development as well as integration development within the central IT of university. So this is pretty much the most exciting thing that we're doing is putting together this platform that is quite complex It is a journey that we're taking Together with the people who are already operating existing systems, and so we are putting this new thing that we're operating in parallel and we will be migrating to that new platform over time. >> I'm sure containers are involved >> Troupernetties >> Yes >> To be part of it >> Mhm, Mhm, yeah so the platform has two parts There is the application, publishing with Gooddoctrine troupernetties And we have also the streaming side of it Where to build the data pipeline with open source tools like ApacheNinefive and Apache kafka. So um yes So this is going to be wiring the data pipelines from source to target and moving the data in real time In order to- >> And you see that as a nice way to keep uh an option to move from cloud to cloud >> Potentially since the platforms role is to decouple the infrastructure from devolepment that way you could spin a portion of the platform on any cloud pretty much and run your workload. Anywhere you want. >> So classic Dev ops, Separate infrustracture as code provide a codified layer >> Yeah, Yeah >> So let me ask you a question, How did you get into all this data business? I mean what attracted you to the data field? What's your story? Tell us your story. >> Ah, so the data, you know, I personally started I mean I was I had more of a networking background and then I became a sys Admin and then I got into the business of logging and log aggregation for machine data And then I was you know using that Data to create Dashboards of system health and you know data correlation and this is what exposed me, personally, first to the data world. And then I saw the value in, in doing all of this With data and the value is even more impactful to the business, when you're working with actual business data. And then Right so I'm very excited about that. >> So you were swimming in the first data lake before data lakes were data lakes. >> Yeah, right, for machine data >> And once you're in there you see value Data exhaust comes in as we used to say back in the day. During the Hedupe days. Data exhaust. So now that you're doing the business value is the conversations the same, or are they different conversations? Or is it still the same kind of data conversation? What's, or is the, job the same? Because you still have machine data applications are throwing off data. >> Right >> You have infrastructure data being thrown off You have new abstrac-New software layers >> Yes >> Is it the same or is it different? Describe the current situation. >> Eh, you know, maybe the concepts are the same Uh, but I think the, the logging machine data has more value to IT to give incites on how to improve your, uh SLA's and your you know within the scope of IT. But the business data really will impact the business, the whole entire University for us. So, One of the things we're doing on the business side with the business data is to provide some analytics on students um, the student data in order to um, increase their chances for success so getting all of that data. Doing some reports and pattern analytics. And then yeah, and then coaching students. >> Not a bad place to live in San Diego. >> Oh It's excellent >> Isn't it, the weather's always perfect >> Oh yeah. >> The marine layers not as bad L.A. you know, or is it? >> Yeah we do have a good. University- >> The marine layer. >> University is right on the coast. So yeah, sometimes its gloomy the whole entire day. = [John] Yeah, I love it there I wish I could have gone to school at the university of San Diego >> It is great, It's a great place to be >> Love to go see my friends at Lajolla Del mar. >> Yeah >> Beautiful areas, >> Yup >> Great country. Well thank you for coming on, and sharing your insights into multi-cloudism and that thinking. It seems you're very foundational right now. In this whole thinking there's no master plan yet. People are really having good conversations around how to set it all up. >> Yup >> The architecture, >> Right >> The role, >> Yup >> You see the same thing? >> Yes architecture is actually a very essential piece of it because you need to plan before you go if you go without planning I think your bill is going be Up the roof, so it yeah >> So you'll sink in the quicksand of the data lake And get sucked into the data swamp >> Yeah, Right, yeah so, architecture is a big piece of it Design, and then build and then continuous improvement That's a huge thing at UC of San Diego >> You know what I get excited about, Is I get excited about real time, how real time, time series data is becoming a big part of the application development and understanding the context between good data and bad data, is always a hard problem a hard tech problem6. >> Yeah that is true, yeah their are a lot of processes that, uh should be set around the data to make sure that data is clean, and it's, a good data set and all that >> If data's an asset then does it have a value? Does it have a balance sheet? Should we value the data? Is some data more valuable then others? That's a good question, huh >> That is a good question, but I don't know the answer to that. >> No one knows it's like we always ask the question I think that's going to, I think that's a future state where at some point data can be recognized but right now it's hard to tell what's valuable or not. >> I think the value is in the return services And the value added services, that you As an organization, can bring to your customer base. This is where the value is and if you want to put a dollar amount on that, eheh, I don't know It's not my job >> And of course multiden here, Multi-clouds All have it and of course thank you so much for coming on Special time conversation. Keep conversation here theCube coverage. Of the first inaugural multi-cloud conference call to escape nineteen. Where the industry best are coming together practitioners, entrepenures, founders, executives and thought leaders, talking about what multi-cloud really can be and foundationally what it needs to be in place and this is what happens here at these conferences Tons of hallway conversations Natalie thank you for spending the time. Cube coverage. I'm John Furrier, thanks for watching. (simple upbeat music)

Published Date : Oct 29 2019

SUMMARY :

From New York, it's the So, thanks for taking the time out, this conference pretty much speaks to all of that. in the old days where you had multiple vendors, ran the world, now you have lots of all of the organizations including the university What's exciting to you these days in the university? to do an integrat- um, all of the There is the is to decouple the infrastructure from devolepment I mean what attracted you to the data field? With data and the value is even more impactful So you were swimming in the first data lake Or is it still the same kind of data conversation? Is it the same or is it different? So, One of the things we're doing Yeah we do have a good. University is right on the coast. Love to go see my friends at Lajolla Well thank you for coming on, a big part of the application development but I don't know the answer to that. but right now it's hard to tell And the value added services, that you All have it and of course thank you so much for coming on

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