Author Archives: GilPress
Big Data Friday: Borasky’s Law
Murphy’s Law: Anything that can go wrong, will go wrong. O’Toole’s Corollary: Murphy was an optimist. Sturgeon’s Law: 95 percent of everything is crap. Mencken’s Law: Nobody ever went broke underestimating the intelligence of the American public. Borasky’s Law: Sturgeon … Continue reading
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The Big Data Landscape Revisited
Bruce Reading, CEO of VoltDB, has an interesting and original take on the big data landscape. Last year, Dave Feinleib published the Big Data Landscape, “to organize this rapidly growing technology sector.” One prominent data scientist told me “it’s just a bunch of … Continue reading
The Big Data Debate: Correlation vs. Causation
In the first quarter of 2013, the stock of big data has experienced sudden declines followed by sporadic bouts of enthusiasm. The volatility—a new big data “V”—continues this month and Ted Cuzzillo summed up the recent negative sentiment in “Big … Continue reading
Scenarios for the Future of the IT Industry
In November 1998, I sent to my then-colleagues at EMC an email with the subject line “The Demise of Dell.” I wrote: “My fail-proof crystal ball just talked to me again: By the end of 2000, Dell’s market cap (today at $80B) will be … Continue reading
Posted in Predictions
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Who’s Big in Big Data? (Infographic)
Source: Datasift
Posted in Big Data Analytics, Big data market, Infographics
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Big Data: A Revolution that Will Transform How We Live, Work, and Think
Viktor Mayer-Schönberger and Kenneth Cukier, authors of the just-published Big Data: A Revolution that Will Transform How We Live, Work, and Think, reacted sharply when I asked them if they are cheerleaders for big data, as one reviewer implied. ”We … Continue reading
Big Data Analytics and Data Science at Netflix (Video)
Chris Pouliot, the Director of Analytics and Algorithms at Netflix: “…my team does not only personalizations for movies, but we also deal with content demand prediction. Helping our buyer down in Beverly Hills figure out how much do we pay … Continue reading
LinkedIn’s Daniel Tunkelang on How to Interview a Data Scientist
Tunkelang: The O’Reilly Strata Conference brings together an incredible community of people working on big data. This year, I decided to do something different for my presentation. Rather than talk about science or technology, I addressed the practical problem of interviewing the candidates … Continue reading
Cool Data Scientists on Campus
Hal Varian: “Data availability is going to continue to grow. To make that data useful is a challenge. It’s generally going to require human beings to do it.” Source: Carl Bialik, “Data Crunchers Now the Cool Kids on Campus,” The Wall … Continue reading
Vincent Granville’s 66 job interview questions for data scientists
What is the biggest data set that you processed, and how did you process it, what were the results? Tell me two success stories about your analytic or computer science projects? How was lift (or success) measured? What is: … Continue reading