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IBM Presentation at IOD

On the website Enterprise Irregulars, Evangelos Simoudis wrote a post on his talk at the recent Information On Demand conference in Las Vegas.  Simoudis mentions that today what is generally referred to by “big data” means data that is large in size, semi-structured or unstructured in form, and real-time or near real-time in the way it

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WSJ: Profile of 1010Data

The Wall Street Journal has a profile of 1010data, as part of their ongoing series of successful companies in the big data space.  According to the WSJ profile, the New York-based company’s customers pay a subscription and hand their data over to the company, which gives it back to them in a format that’s nearly

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Kaggle Raises $11M for Data Science Spec Work

It’s been common practice within the graphic arts world to have competitions for logo design – companies put out a bid for a logo, and get multiple bids with examples in order to win the work.  It appears that this model is reaching the analytics development world… It was announced today by VentureBeat that Kaggle

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ODBMS.org: Interview with Amazon CTO Vogels

Professor Roberto Zicari of ODBMS.org recently posted his interview with Amazon.com CTO and VP Dr. Werner Vogels about the future of big data, and where Amazon is going with it. Within the article, Zicari reflects upon Vogels’ mention of a book called The Fourth Paradigm: Data-Intensive Scientific Discovery (you can download a free PDF version of the book here). 

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Strata Online Conference – Free Registration

On December 7, Strata will be hosting a free online conference about moving to big data.  Here’s a quick synposis of the conference agenda, scheduled to last from 9 AM to 10:30 AM Pacific time: Introduction:  Dealing with New Expectations – Alistair  Croll (Bitcurrent) Top-Down:  What CEOs Can Do to Accelerate Data Mindsets – Diego Saenz

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HP’s Project Moonshot – Addressing “Slow Big Data”

Wired’s Jon Stokes has a really interesting post on HP’s newly unveiled data server strategy to address two different big data challenges. As Stokes describes (and which he also mentions really comes from a presentation by Twitter’s Nathan Marz), there are “fast” big data and “slow” big data problems.   For the “fast” problems, you apply

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ZDNet’s Kusnetzky on Big Data and More

In a post today, Dan Kusnetzky of ZDNet interviews MapR Technologies CEO, John Schroeder, about his views on big data, Hadoop, and what his company is doing in this space. Here’s a little from Kusnetzky’s post on his thoughts on “big data” (which I think are “spot on”): What is big data? A while ago, I posted

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Hadoop World Approaching

Next week, Hadoop World will be taking over the Sheraton New York Hotel and Towers in Manhattan.  Sessions will be held on Tuesday and Wednesday, November 8 and 9, with training and certification sessions being held the other days that week. Companies such as Facebook, bit.ly, Etsy, Netezza, Explorys, and CBS Interactive will be giving

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Privacy in the Age of Big Data

Today, Audrey Watters of O’Reilly Radar posts her interview with Terence Craig, co-author of Privacy and Big Data, about the impacts of big data on personal privacy.  Craig makes the claim that data transparency will eventually trump anonymity, meaning that our lives will be less private in the future as we all take advantage of the technologies

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Wall Street Moves Toward Leveraging Unstructured Data

Forbes has a post on where Wall Street is going in the big data field.  While capital markets have previously been focused on high velocity market data, trying to beat the next trader in taking advantage of market inefficiencies, they are now moving toward unstructured data that fall outside these high velocity data streams, according

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