 Live from Las Vegas, it's theCUBE covering Dell EMCworld 2017. Brought to you by Dell EMC. Okay, welcome back everyone. We are live in Las Vegas for Dell EMCworld 2017. This is theCUBE's eighth year of coverage of what was once EMCworld, now it's Dell EMCworld 2017. I'm John Furrier with SiliconANGLE, also my co-host from SiliconANGLE, Paul Gillan, our next guest is Vikram Bambri, who's the Vice President of Product Manager at Dell EMC. Formerly with Microsoft Azure, knows Cloud, knows Viper, knows the management, knows storage up and down, the emerging technologies group, formerly of EMC. Good to see you on theCUBE again. Good to see you guys again. Okay, so Elastic Compute, this is going to be the game changer. We're so excited about one of our favorite interviews with your colleague we had on earlier. On structured data, ObjectStore is becoming super valuable. Absolutely. And it was once the throwaway, yeah, store the data lake, now with apps and data-driven enterprises, having access to data is the value proposition that they're all driving towards. Absolutely. Where are you guys dealing with making that happen and bringing that data to life? So when I think about object storage in general, people talk about it's the S3 protocol or it's the object protocol versus the file protocol. I think the conversation is not about that. The conversation is about the data of the universe is increasing and it's increasing tremendously. You're talking about 44 zettabytes of data by 2020. You need an easier way to consume, store that data in a meaningful way. And not only just that, but being able to derive meaningful insights out of that either when the data is coming in or when the data is stored on a periodic basis being able to drive value. So having access to the data at any point of time anywhere is the most important aspect of it. And with ECS, we've been able to actually attack the market from both sides, right? Whether it's talking about moving data from higher cost storage arrays or higher performance tiers down to a more accessible, more cheap storage that is available geographically. That's one market. And then also you have tons of data that's available on the tape drive, right? But that data is so difficult to access. So not available. And if you want to go put that tape back on an actual active system, the turnaround time is so long. So being able to turn all of that storage into an active storage system that's accessible all the time is the real value proposition that we have to talk about. Well, that helped me understand this because we have all these different ways to make sense of unstructured data now. We have no SQL databases. We have JSON. We have HDFS and we've got object storage. Where does it fit into the hierarchy of sort of making sense of unstructured data? The simplest way to think about it is we talk about a data ocean, right? With the amount of data that's growing. Having the capability to store data that is in a global content repository. That is accessible. Meaning one massive repository. One massive repository. And not necessarily in one data center, right? It's spread across multiple data centers. It's accessible, available with a single global namespace. Regardless of whether you're trying to access data from our location A or location B. But having that data be available through a single global namespace is the key value proposition that object storage brings to the bear, right? The other part is the economics that we are able to provide consistently better than what the public clouds are able to offer, right? You're talking about anywhere between 30 to 48 percent cheaper TCO than what public clouds are able to offer in your own data center with all the constraints that you want to apply to it, whether it's regulatory environments, whether you're talking about country specific clouds and such. So that's where it fits well together. But exposing that same data out whether through HDFS or file is where ECS differentiates itself from other cloud platforms. Yes, there's like, you know, you can go to a Hadoop cluster and do a separate data processing, but then you're creating more copies of the same data that you have in your primary storage, right? So things like that essentially help position object as like, you know, the global content repository where you can just dump and forget about, like, you know, about the storage needs. Dikram, I want to ask you about the Elasti Cloud Storage as you mentioned, ECS. It's been around for a couple of years. Right. You just announced a ECS Elasti Cloud Storage dedicated cloud. Sure. Can you tell me what that is and more about that? Because some people think of Elasti, they think Amazon, I'll just throw it in an object storage or a cloud. What are you guys doing specifically? Because you've got this hybrid offering. Absolutely. What is this about? Can you explain that? Yeah, so if you look at, like, you know, there are two extremes or two paradigms that people are sort of attracted by. On one side, you have public clouds which give you the ease of use, right? You just swipe your credit card and you're in business. You don't have to worry about the infrastructure. You don't have to worry about, like, you know, where my data is going to be stored. It's just there. And then on the other side, you have regulatory environments or you just have environments where you cannot move to public clouds. So customers end up putting ECS, right? Or other object storage for that matter, though ECS is the best. But, like, you know. Yes, but that's okay. Yeah. Now we're starting to see customers. They're saying, can I have the best of both worlds? Can I have a situation where I like the ease of use of the public cloud but I don't want to be in a shared part of environment, right? I don't want to be in a public cloud environment. I like the privacy that you're able to provide me with this ECS in my own data center but I don't want to take on the infrastructure management. So for those customers, we've launched ECS dedicated cloud service and this is specifically targeted for scenarios where customers has, like, you know, maybe one data center, two data centers, but they want to use the full strength and the capabilities of ECS. So what we're telling them, we will actually put their bot ECS in our data centers. ECS team will operate and manage that environment for the customer, but they're the only dedicated customer on that cloud. So that means they have their own environment. It's completely secure for their data. Exactly. No multi-tenant issues at all. No. And you can have, like, you know, either partial, like, you know, capabilities in our data center or you can fully host in our data center. So you can do various permutation and combinations. That's giving customers a lot of flexibility of, like, you know, starting with one point and moving to the other. Let's just start with, like, in a private cloud, they want to move to a hybrid version. They can move that, or if they start from the hybrid and they want to go back to their own data centers, they can do that as well. Let's change gears and talk about IoT. You guys had launched Project Nautilus. We also heard that from your boss and earlier, two days ago. What is that about? Explain specifically what is Project Nautilus. So as I was mentioning earlier, right, there's a whole universe of data that is now being generated by these IoT devices, right? Whether you're talking about connected cars, you're talking about wind sensors, you're talking about, like, you know, anything that collects a piece of data that needs to be not only stored, but people want to do real-time analysis on that data set, right? And today, people end up using a combination of, like, you know, 10 different things. They're using Kafka, Spark, HDFS, Cassandra, DAZ storage to sort of build together, like, you know, a makeshift solution that sort of works, but doesn't really, right? Or you end up, like, you know, if you're in the public cloud, you'll end up using some implementation of a lambda architecture. But the challenge there is you're storing same amount of data in few different places. And not only that, there is no consistent way of managing data, processing data effectively. So what Project Nautilus is, our attempt to essentially streamline all of that, allow stream of data that's coming from these IoT devices to be processed real-time or for batch in the same solution. And then once you've done that processing, you essentially push that data down to a tier, whether it's ISLON or ECS, depending on the use case that you're trying to do. So it simplifies the whole story on real-time analytics and you don't want to do it in a closed-source way. What we've done is we've created this new paradigm or new primitive called streaming storage and we are open-sourcing it via Project Pravega, which is in the Apache Foundation, right? We want the whole community, just like there is a common sense of, like, you know, awareness for object, file, we want to do that same thing for streaming. So you guys are active in open-source, explain quickly, a lot of you might not know that, talk about that. So yeah, as I mentioned, Project Pravega is something that we announced at Flink Forward Conference. It's a streaming storage layer, which is completely open-source in the Apache Foundation and we just open-sourced it today. And giving customers the capability to contribute, code to it, take their version or, like, you know, do whatever they want to do, like, you know, build additional innovation on top. And the goal is to make streaming storage just like a common paradigm, like everything else, right? And in addition, we're partnering with another open-source component. There is a company called Data Artisans, based out of Berlin, Germany, and they have a project called Flink. And we're working with them pretty closely to bring, not less to fruition. The queue was there by the way. We covered Flink Forward, again, one of the- True streaming engine. Yeah, that's great. Very good, very big open-source project. Yeah, we were talking with Jeff Woodrow earlier about software-defined storage, self-driving storage, as he calls it. Where does ECS fit in the self-driving storage? Is this an important part of what you're doing right now? Or is it different, do you have a different use? Yeah, our vision right from the beginning itself was when we build this next generation of object storage system, it has to be software-first. Not only software-first, where, like, you know, a customer can choose their commodity hardware to bring to bear, or we can supply the commodity hardware. But over time, build intelligence in that layer of software so that, like, you know, you can pull data off smartly to other, from, like, you know, SSDs to more SATA-based drives, or you can bring in smart surround metadata search capabilities that we've introduced recently. Because you have now billions of billions of records that are being stored on ECS, you want ease of search of what specifically you're looking for. So we introduce metadata search capability. So making the storage system and all of the data services that were usually outside of the platform, making them be part of the core platform itself. Are you working with Elasticsearch? Yes, we are using Elasticsearch more to enable customers who want to get insights about ECS itself. And not less, of course, is also going to, like, you know, integrate with Elasticsearch as well. Vikram, let's wrap this up. Thank you for coming on theCUBE. Bottom line is, what's the bottom line message quickly? Summarize the value proposition, why customers should be using ECS. What's the big aha moment? What's the value proposition? I would say the value proposition is very simple. Sometimes it can be like, you know, people talk about lots of complex terms. It's very simple. Sustainably low-cost storage for their, like, you know, for storing a wide variety of content in a global content repository is the key value proposition. And use for application developers to tap into the whole DevOps, data as code, infrastructure as code, movement. You start, what we have seen in majority of the use cases, customers start with one use case of archiving and then they very quickly realize that there's, it's like a Swiss Army knife. You start with archiving, then you move on to, like, you know, application development, more modern application, or cloud-native applications development. And now with IoT and not less, being able to leverage, push data from these IoT devices onto ECS. As I said on, two days ago, I think this is a huge important area for agile developers. Having access to data at less than a hundred milliseconds from any place in the world is going to be table stakes. ECS has to be, or in general, object storage, has to be part of every important conversation that is happening about digital IT transfer. This sounds like eventually most of the data is going to end up there. Absolutely. Okay, so I'll put you on the spot. When are we going to be seeing data in less than a hundred milliseconds from any database anywhere in the fabric of a company for a developer to call a data ocean and give me data back from any database, from any transaction, less than a hundred milliseconds? Can we do that today? We can do that today. It's available today. The challenge is, like, you know, how quickly enterprises are, like, you know, adopting the technology. So they can architect it. Yeah. They have to architect it. If it's all on ice a lot. But they can pull it, they can cloud pull it down from our saloon to ECS. True. Yeah. Speed, low latency is the key to success. Congratulations. Thank you so much. And I love this new object store. I love this tier two value proposition. It's so much more compelling for developers, certainly in cloud native. Absolutely. Vikram, here on theCUBE, bringing you more action from Las Vegas. We'll be right back as day three coverage continues here at Dell EMC Real 2017. I'm John Furrier with Paul Gill and we'll be right back.