A Global Project to Tell the Human Stories of Big Data

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Petabytes of information, predictive analytics, visualizations of global trends and activity…what does it all mean to the people producing all this information? The Human Face of Big Data, a project by Against All Odds Productions and sponsored by EMC, aims to tell some of the human stories revealed from massive database clusters.

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Hadoop and Disparate Data Stores

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Through our experiences in working with customers on Big Data platforms, we’ve come to notice that there are fundamentally two types of Hadoop users out there; the first type being “Hadoop-centric” users who are building platforms completely off of Hadoop and no longer want to leverage relational database technologies for analytics (these tend to be the early adopters of Hadoop), and the second type being users who are leveraging Hadoop as an augmentation to existing systems and are focused on integrating the technology with existing analytical databases and workflows (these tend to be the later adopters who are still building their Hadoop skills internally).

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Alcohol, Prostitution, and Predictive Modeling

(Map colors based on www.ColorBrewer.org, by Cynthia A. Brewer, Penn State.)
Image via Uber. User Mondrian!

Uber is one of the latest mobile apps to catch on like wildfire. Uber provides private drivers on-demand from anywhere, at any time. Here’s a real-life example: it’s 1:48 am, the Riptide bar on 47th and Taraval located in the Outer Sunset of San Francisco is about to close down, and there are rarely cabs driving in this neighborhood.

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The Data Science Summit 2012: Staging Ground for the Future

At the Data Science Summit 2012, practitioners and thought leaders shared broad visions and deep discipline

Big Data may be getting its day in the sun, but data science is the key to unlocking Big Data’s abundance of predictive value and insight.

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From Disruption to Insight at the Data Science Summit 2012

2012 is proving to be the year of Big Data, demanding the attention of executives, thought leaders, academics, and tech journalists alike. From the Obama Administration’s $200 Million Big Data Initiative to the enterprise, retail to academia, businesses, organizations and governments are increasingly realizing the opportunities posed by the inundation of massive data sets.

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