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Thought Leaders in Big Data: Interview with Matti Aksela, VP of Analytics at Comptel (Part 1)

Posted on Thursday, May 9th 2013

Matti Aksela is the vice president of Analytics at Comptel, a company that recently acquired Xtract, which provides Advanced Analytics solutions powered by Social Intelligence. In this interview Matti talks about the processes involved at Comptel that drive insights from mobile network data and how this affects consumer experience.

Sramana Mitra: Matti, let’s start by introducing Comptel. Tell us what Comptel does, the scale of the company, and what your business is. >>>

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Thought Leaders in Big Data: Interview with Ron Bodkin, CEO of Think Big Analytics (Part 6)

Posted on Tuesday, May 7th 2013

Sramana Mitra: These are IT applications you are talking about, right?

Ron Bodkin: It is an application for technology vendors, supporting and servicing products that might be sold into IT [departments]. >>>

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Thought Leaders in Big Data: Interview with Ron Bodkin, CEO of Think Big Analytics (Part 5)

Posted on Monday, May 6th 2013

SM: That is the question I was asking you. Are you working with the application layer companies, which are the AgilOnes, the Oversights and another 10 or 20 companies that are leaders in their categories? There is certainly as services business around that. >>>

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Thought Leaders in Big Data: Interview with Ron Bodkin, CEO of Think Big Analytics (Part 4)

Posted on Sunday, May 5th 2013

Sramana Mitra: There are plenty of big data application layer companies that specialize in specific verticals. Yieldex, for example, is delivering very specific value in getting more out of the online inventory. DataXu is working on the advertising optimization space. There is Evolven in the IT operations area. There are a bunch of them working in the financial services space. 1010data, for example, is an interesting company in this space. There is Oversight Systems in fraud control. I can mention another 15 to 20 companies that are generating serious revenues in each of these categories. >>>

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Thought Leaders in Big Data: Interview with Josh Rogers, SVP of Data Integration Business at Syncsort (Part 5)

Posted on Sunday, May 5th 2013

Sramana Mitra: Imagine you are a young entrepreneur today starting a company. Where do you see some open problems that you think are worth working on?

Josh Rogers: There is a debate happening on what Hadoop is. I would suggest people to look at it as an operating system. Think about the set of services that this operating system is offering you and think about the applications you can build on top of that operating system to allow people to quickly get significant value out of it. >>>

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Thought Leaders in Big Data: Interview with Ron Bodkin, CEO of Think Big Analytics (Part 3)

Posted on Saturday, May 4th 2013

Sramana Mitra: When you are going into accounts, which industry sectors are you seeing the maximum traction in for big data projects?

Ron Bodkin: This is truly a broad-based shift that we see. We are working with Fortune 50 customers in multiple industry sectors, because we see needs of many. >>>

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Thought Leaders in Big Data: Interview with Josh Rogers, SVP of Data Integration Business at Syncsort (Part 4)

Posted on Saturday, May 4th 2013

Sramana Mitra: So you are basically accelerating the sort process.

Josh Rogers: I would say we started with that basic technology on the mainframe. What we are doing today is accelerating all sorts of correlated processing functions. Whether that is aggregation, a join or a filtering process, we have technologies that allow you to accomplish that core architectural benefit of making that workflow go faster but at the same time using less CPU. >>>

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Thought Leaders in Big Data: Interview with Ron Bodkin, CEO of Think Big Analytics (Part 2)

Posted on Friday, May 3rd 2013

Sramana Mitra: What problem doesn’t Hadoop solve?

Ron Bodkin: That is a good question. At any given time you have certain capabilities in a number of technologies, and then you also have a vector for how new capabilities are being added. I would say that today Hadoop is not well suited for real-time use cases. >>>

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