The Visualized Conference Brings Big Data to Light
Big Data doesn't only create new opportunities for enterprises and organizations; it opens up new horizons to artists, designers, journalists, storytellers, and practitioners of new hybrid forms of communication. Data visualizations abound on the web these days, but there's a big difference between pie charts or simple heat maps and the work of the the emerging masters of the form.
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Hadoop MapReduce Can Transform How You Build Top-Ten Lists
It seems like websites, magazines, and TV shows all over the place are building top ten lists (or top-k lists) these days. The top ten science fiction movies of all time, the best places to live, etc. Top-ten lists are not only a lot of fun because of our seemingly primal need to create categories and hierarchies — they can actually be a useful way to analyze your data.
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Is Data Scientist the Sexiest Job of the Century?
Hey good lookin’. Yep, I’m talking to you, or at least the data scientists reading this. (The rest of you are incredibly good looking, intelligent, and clearly have good taste, as well.) The Harvard Business Review has put Billy Crystal’s “You Look Marvelous” on the hi-fi, dimmed the lights, and declared data scientist “The Sexiest Job of the 21st Century“.
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Data Challenge Winners Tell The Stories Within Civic Data
Despite the increasing number of cities embracing open data policies and the popularity of visualizations, communicating the stories found in all that data remains a challenge. Journalists, developers, and advocacy groups alike contend with a wealth of civic data, but often lack the technical skills or the storytelling acumen to reap its potential social benefits.
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Towards a Unified In-Situ Analytics System
With ever-growing data sets produced from user-generated online content and activity, and the amount of machine-generated data from server logging and network traffic monitoring, enterprise customers want the best of both worlds. They want to perform complicated interactive queries and sophisticated reporting easily, using existing BI tool sets.
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Greenplum’s Gavin Sherry on Remaining Agile Within the Enterprise
One of the greatest challenges for an enterprise is iterating while delivering quality products as teams grow in size and projects become increasingly complex. Unchecked, a nimble startup can become burdened with well-intentioned procedures and management models that nevertheless slow the pace of innovation.
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Eric Fischer’s Work Blurs the Line Between Data Science, Cartography, and Art
During a talk earlier this year at the Big Data for the Public Good seminar series, Stamen’s Eric Rodenbeck emphasized that data scientists are not only researchers, but also storytellers. Fittingly, many in the field boast a cross-disciplinary background, such as Greenplum’s Noah Zimmerman, who moonlighted at Stanford’s design school while doing PhD research on immunology and statistics.
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A Global Project to Tell the Human Stories of Big Data
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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Nate Silver on the 2012 Election and the “Prediction Paradox”
Following the conclusion of the Republican and Democratic national conventions, we’re mercifully facing down the final days of this election season. With the race heating up, policy wonks and voters are turning their attention to the other breakout star from 2008′s Presidential race: statistician and blogger Nate Silver, whose predictive models during that race proved more accurate than the projections of expert pollsters and the pundits.
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“Data Is” or “Data Are”?
“Data is” or “data are”? It’s the type of sticky linguistic thicket that invites vociferous debate. Working with data and writing about that work are both vocations that presumably appeal to the meticulous and, well, the pedantic. (I’ll plead guilty to the latter trait, if not the former.) Tracing the word back to its Latin roots, “data” is the plural of “datum”, which makes it an airtight case for advocates of “data are”.
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