Archive for the Big Data category
Letizia Tanca
February 18, 2016
Wisdom: a “double V” for Big Data
Some months ago, I found an exciting piece of news on the Web: a top manager proclaimed [1]: “If the most important thing you offer is data, you are in trouble. (….) Algorithms is where the real value lies. Algorithms define action.” How interesting! It seems to suggest that everybody, including computer scientists and in […]
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Serge Abiteboul and Julia Stoyanovich
November 20, 2015
Data, Responsibly
(This blog post is an extended version of an October 12, 2015 Le Monde op-ed article (in French)) Our society is increasingly relying on algorithms in all aspects of its operation. We trust algorithms not only to help carry out routine tasks, such as accounting and automatic manufacturing, but also to make decisions on our […]
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Julia Stoyanovich and Fabian Suchanek
February 8, 2015
The elephant in the room: getting value from Big Data
Big Data, and its 4 Vs – volume, velocity, variety, and veracity – have been at the forefront of societal, scientific and engineering discourse. Arguably the most important 5th V, value, is not talked about as much. How can we make sure that our data is not just big, but also valuable? WebDB workshop, which […]
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Michael L. Brodie, Jennie Duggan
November 8, 2014
Big Data Is Opening the Door To Revolutions: Databases Should Be Next
Most professional fields, whether in business or academia, rely on data and have done so for centuries. In the digital age and with the emergence of Big Data, this dependency is growing dramatically – perhaps out of proportion to its current value given the concepts, tools, and techniques presently available. For example, how do you […]
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Kristina Lerman
October 30, 2013
The Curses of Heterogeneity in Big Data
“Both theoretical and empirical research may be unnecessarily complicated by failure to recognize the effects of heterogeneity” – Vaupel & Yashin Big Data is daily topic of conversation among data analysts, with much said and written about its promises and pitfalls. The issue of heterogeneity, however, has received scant attention. This is unfortunate, since failing […]
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