 Okay, so we're here with Sujel Patel, who is the CEO, and are you a founder of Icelon? Yes. Is that right, all right? So congratulations, first of all, on the acquisition. Thank you very much. Tremendous story. I mean, any storage companies left that are independent, I mean, I think they're all, I don't think there are any. I don't think there are any. But I was just listening to your presentation to the analyst community. Thank you for that. Want to talk about big data. Can you talk about what big data means to customers and how things are changing? So when we look at the definition of big data, we've developed a working definition that is data sets or information that have scaled to the point where because of the amount of data or the need in terms of timeliness or because of the distribution of that data or how it's presented in separate silos, because of one of those reasons, or many of those reasons, there's a need for a new storage architecture that can handle it. So this might be large stores of unstructured data or digital content or media or any sort of large data set that requires a new architecture. Okay, so we need a new architecture because the existing architectures can't handle the volumes of data, is that right? It could be either volume or it could be performance, right? There's two major trends that are going on in the data center today. One is that the rate of data growth is far outpacing aerial density increases in distros, which means that we have a need for applications to spread out across a lot more hardware than before. That requires a new architecture. Second is that the performance of Intel servers is exceeding Moore's law and applications are leveraging that with technologies like virtualization and newer applications based on cluster computing. Well, if you've got a scale and a performance level that's beyond what you can do with the traditional architecture, you've got to move to what we call these scale out architectures today. Now, when you started Isilon, you see that said 10% of the data that was out there was unstructured, 90% structured and now it's almost completely flipped. I think it's 75% is what you said. So what led you to that conclusion? How did you see that? What was your telescope saying? It's interesting. So your numbers are absolutely right. So when we started Isilon, 10% of data was filed, 90% was blocked, that was 2001. But five years prior to Isilon, I spent company, I spent time at a company called Real Networks. They were the pioneer of streaming media on the internet. And what we saw with the growth of media on the internet was the very beginning of what we knew was going to be a giant problem for all enterprises. And that problem played out a little bit faster, a little bit slower, but it played out just about like we thought it would. In 2008, data split just about 50-50 file and block. By 2012, it's going to be 80-20 file majority, block minority. And some point near the end of this decade, it's probable that even the storage dollars in terms of revenue will shift predominantly towards file as opposed to block. So what do you think that means in terms of sort of the next wave? Is it now about getting value out of all that data? Is that a big part of what the big data is about? Or is there another sort of disruptive force that you're seeing? Well, you're absolutely right. It is about getting value, right? Why have data, if you can't analyze it for business value, if you can't distribute it, if it's media, if you can't distribute it and get entertainment value out of it, what good is it if it doesn't enable new innovations and new products to reach the marketplace? And that's really the goal, why customers have this big data. So Gelpatel, blockbuster acquisition in the storage business, congratulations. Thanks for spending some time with SiliconANGLE and Wikibon community. Thank you. Appreciate it. All right, so that was Gelpatel from Icelon and really appreciate you coming on. Thank you very much. Thanks.