>> What
>> live from Las Vegas, Nevada It's the Cube covering DMC
World twenty fifteen Brought to You by E. M. C. Brocades
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>> We're back. Everybody, this is Dave, along with Steve Chambers. Josh Connors here is Senior Vice President PMC
Global Solutions. Just welcome back. Good
>> to see again. Thanks. Good to see you guys. Thanks for the
>> world. You know, just when I think you guys can't hit, you know, new heights.
We got the roar this morning. The
>> beast? Yeah, they always good. Good fun in those days for
some good news to, you know, I mean, some exciting announcements today, and, you know,
hopefully, people enjoyed it as
>> well. So you've got you've got relatively new role on a new organization.
A lot of organizational changes, you know, kind of internal plumbing. I know, but maybe start with what you
do in these days and shared a solutions group is all about
>> us. So I run. I run the Global Solutions organization. So what we do is we take the products
from the federation and from the emcee, and we designed customer outcomes.
And then we engineer those those outcomes to give our customers a jump start on getting
the results they
>> looking for. One of the big changes was VC is now part of PMC.
You're part of Previn's organization. Yes, kind of cool. A lot of solutions around Converged.
Yeah, exactly what's new there?
>> So we took when when the sea came in, we took the Global Solutions organization that I ran about
five hundred people and put it into Previn's organization because there's really a lot
of synergy between the deployment of converged infrastructure and the deployment of the solutions on
top of it. So so take the Enterprise hybrid cloud. You know that the fastest way to deploy
the Enterprise hybrid cloud is on Avi Block and, you know, the enterprise Cyber cloud solution
is basically a bunch of software. We've written two predefined service levels and automate
the provisioning and configuration of those services. So gives I T organizations
away toe to have their own sort of internal Amazon like cloud.
You do it with the solution. My team's built on top of a V block and you could get it into your environment in twenty
eight days
>> or less. I think I think that's good, right? Because for the longest time, everyone's been having to hand craft hybrid
clouds of a collection of things. Yeah, it sounds like your teams moving Torme's like
askew for hybrid cloud, right? You know, it's going to be privatised hybrid cloud, because that's just after different
every time. I don't really think so, right? You know, this is gonna be dials. And is that the direction you
>> can? That's exactly the direction, right? We want to make it his turn key, as we possibly can drop it in,
It's up and running. You need more capacity. You know, add another one of these.
There's lots of things they've done in the V C e architecture to to allow more modular expansion
of components so you can drop in the first block and get up and running in a hurry. If you need Mohr
filed a storage, you can actually put Isil.
You know, Foul Bay storage independently without a lot of computer with less compute under the same
control. So it's not only quick to get up and running now. The expansion is is much easier.
And you still get that simplicity and the VC experience
>> over all of it. So what defines a solution?
>> Yeah, so we really have. I would say we have two different kinds of solutions.
One that we do is a reference architecture. So that's where we're gonna take a bunch of products.
We're going to put them together, and we're gonna document how you deploy them, how you could figure him,
you know, performance criteria, sizing guides, and we're gonna put that in some kind of a white paper
and deliver it to customers and partners in the market. That's a reference architecture.
There's other kinds where we're actually going to define the outcome and write software. Teo create that outcome,
and we call that an engineered solution. So the solution is,
Ah is a word that can mean a ton of different things that they get. A lot of times when solutions become invoke,
people stop using the word product and start using the word solution to be in the exact same thing. But we mean really two very specific
things now reference architectures to help you deploy and be sure that you're going to configure it right and
then engineered solutions that I'll give you eighty percent of the answer right out of
>> the box. So when you look at the market opportunity in those two broad categories,
how does it break down bigger market for reference architectures? Because you get. I guess,
in theory, more flexibility. You can kind of do more things with it. Or is there a big market for the
ladder?
>> Yeah, I think a lot of it. The way I look at this has much more to do with whether
you're talking about kind of a discreet application or a fundamentally new architecture.
So if you look at a hybrid cloud, that is a totally different way to deploy Tito,
run it operated. And so for that, you really do need.
There are a lot of gaps. People were trying to build hybrid clouds, spending two years and millions of dollars not getting the answer.
So we felt like if we wrote a little bit of code to fill in some of those gaps, we could really get that outcome.
But there's other things that I would call a discreet application. So you're gonna deploy exchange,
for example, you're you're buying exchange, you're going by the hardware, and you're going to just kind of deploy that and user computing
actually very similar, right? It doesn't take a totally new architecture. You need to buy the the beady
eye platform and some, you know, computing storage and get it deployed kind of on a standalone basis.
So reference architectures are great for those really discreet transactions to ST deployments.
Discreet use cases Engineered solutions are great for the fundamentally new
>> architecture's. So how do you decide what to attack? I mean, everybody's got a limited, but you got a big organization,
but not unlimited budget. So yeah, how do you figure out where to go first?
>> So a lot of that has to do with the Federation steering committee, and it comes straight from
the AMC squared strategy. To be honest, you know, I think there's a belief that we've had for a number of
years, that cloud and big data on social and mobile are fundamentally changing
the the industry, and they're going to create winners and losers. And in the tech industry, we think the the
two of the places we really need to invest, our enabling our customers to build hybrid clouds
on enabling our customers to build data lakes because we think big data is another, another big factor.
So it really comes. I guess, I would say from the market,
but also from our top level AMC strategy on how we read the market and the things that we think are
the most important for us to invest
>> in. Is there a better ever risk in this as well? Oh, because the more you do for
customers them or they rely on you, and that sounds like a great thing. Book. If you're shipping them working
hybrid cloud, then I'll be going then ask you to run it for them. And then, you know,
>> you kind of get pulled
>> him. Maura. Maura, I do see that.
>> Yeah, we So So I guess what I would say is, you know, tell me with that problem,
sport, get sports Analogies are terrible, right? But I think I
>> think we're kind of like a give me the ball
>> company right way. Wanted people to count on something we're powering and have always
been powering some of most important applications in the world. And that's the position we want to be in. But
what I would say is, yeah, absolutely. Some customers look at this and they say, Hey, give it to me. I'll deploy it, I'll run it.
Thank you. Others say, Hey, could I'll buy the stuff and put it on
my site Do you have manage services that can come run it? Or maybe they have a partnership with someone else,
that they want to run it as a manage service. And some people wanted to play it off. Premise,
you know, and have it manage doesn't outcome ofthe premise. And we're seeing all of those models.
We're working ourselves to provide more options, and we're working with partners to provide more options.
We don't really believe in choice
>> about Data Lake's a little bit. Yeah, brought that up so way. Look at the market. You see, about forty plus
percent of the revenue, the spending in big data.
Let's call it is on services, you say, Wow, that kid be sustainable.
It's gotta be solutions, guys. You know Greenfield.
>> Yeah, it's it's exactly
>> right. Talk about the solutions, your building around data, data legs, what you're doing with ice along
yet. What customers are doing with them you'll learn more about You're
>> exactly right about how this works, right? I mean, in the beginning, you get a new concept and you apply a lot
of services to get the outcome, and then you say, Oh, hey, eighty percent of our deployments have
this common factor. Let's engineer that, and that becomes the basis of the engineer.
Solution. Clouds airway further along, right? We've been at it for much longer. Data lakes or much newer.
So way launched our federation business data like solution at the beginning of the year, We
are in directed access now. So we're gonna handful. Actually, few handfuls of customers that
were working very closely with to make sure you use you say we cut our teeth.
You know, in a way where we can really focus and make sure way Khun support them all the way through.
And there's a few things. So in that case, we're taking emcee storage, and we're taking the
pivotal, pivotal big data sweet virtualized on VM where and Cloud Foundry to build the applications
on top of this data lake. So that's the foundation of our data lake. Those federation products and then the
engineered solutions work we're doing has three pieces. The first part is the platform manager,
so that is a way to automatically deploy and configure the right
analytics platform with the right storage and get that all set up your data lake.
Instance later this year will add Cem data ingest capabilities
and some data index and capabilities. We'll also have a data governor,
which will enforce data data policies and make sure that you know people can only get
access to the data that you want them to have access to. And we'll put an analytic Data
Analytics catalog on top, which is the self service engine that data scientists and analysts will
be able to use to go get these environments themselves.
>> So I wanted I got your question, maybe help us a little bit so well in our business.
We have no infrastructure cloud, which is kind of infrastructure, but it's more than infrastructure and then sort
of big data's has largely been this island, you know, do sort of no off
to the side. Do you see those worlds coming together? You guys started the cloud meets
Big data, but are they starting to come together? You're building those data lakes on top of
cloud or people saying, Well, I kind of want them to stay separate. What he's saying,
>> Yes, so so virtual ization offers a lot to building a data
like today get There's things that are very complicated in deploying a data
like that, a mature virtual station platform like VM where has has addressed.
And so I think cause it's resilient. Yeah, it's resilient.
It's got things like Meet Oring. It's gotten things to service,
Sons of services monitoring. I mean, it's it's It's a very mature ecosystem for
running just about any kind of workload. So today a lot of the thie data lakes that we see are being deployed
that way. They're being deployed in a virtual environment. Are federation business data Lake is deployed virtualized
not because we felt obliged to include everything in it, but because it really was becoming
the best practice in terms of getting all the functionality that we needed. I do think over time
you'll see the data platforms. I mean, big Big Date is an interesting space because, you know,
open sources is a big factor there, and you're seeing a lot of cloud.
Foundry, for example, is a is an open source project. Pivotal has pivotal cloud foundry.
There's a lot of investment going into maturing those platforms as well, and so I think it's going to be interesting to see how
the big data and the data Lake space evolves, as we sort of, you know,
continue to see the evolution of things like cloud foundry and the role that they play in Data
>> lakes. All right, Josh, we just got the break sign. I'm sorry. I gotta go, but I really
appreciate you coming up. We were
>> checking. Thank you
>> much before you came on, but it
>> was good to catch up. It was great having you guys
>> appreciate. I keep right to everybody. We'll be back with our next guest. We're live from DMC World twenty fifteen.
This is Cube, right back.
>> Way.