A Quote by Oscar Wilde
We live, I regret to say, in an age of Big Data hype.
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As befits Silicon Valley, 'big data' is mostly big hype, but there is one possibility with genuine potential: that it might one day bring loans - and credit histories - to millions of people who currently lack access to them.
People think 'big data' avoids the problem of discrimination because you are dealing with big data sets, but, in fact, big data is being used for more and more precise forms of discrimination - a form of data redlining.
I wanted to project myself forward to age 80 and say, ‘OK, I’m looking back on my life. I want to minimise the number of regrets I have.’ And I knew that when I was 80, I was not going to regret having tried this. I was not going to regret trying to participate in this thing called the Internet that I thought was going to be a really big deal. I knew that if I failed, I wouldn’t regret that. But I knew the one thing I might regret is not ever having tried. I knew that that would haunt me every day.
I'm going to say something rather controversial. Big data, as people understand it today, is just a bigger version of small data. Fundamentally, what we're doing with data has not changed; there's just more of it.
If you hype something and it succeeds, you're a genius - it wasn't a hype. If you hype it and it fails, then it was just a hype.
I can say with confidence that I never bought into the hype, and I made sure that the people around me didn't buy into the hype, and I did not surround myself with people who fed me the hype. And I'm glad of that as well.
We live in an age of publicity and hype. There's something about success that dehumanizes you, whereas failure reminds you of who you really are.
We all say data is the next white oil. [Owning the oil field is not as important as owning the refinery because what will make the big money is in refining the oil. Same goes with data, and making sure you extract the real value out of the data.]
As we move into an era in which personal devices are seen as proxies for public needs, we run the risk that already-existing inequities will be further entrenched. Thus, with every big data set, we need to ask which people are excluded. Which places are less visible? What happens if you live in the shadow of big data sets?
I like to say I've been working on big data for so long, it used to be small data when I started working on it.
Big data is great when you want to verify and quantify small data - as big data is all about seeking a correlation - small data about seeking the causation.
I frequently hear persons in old age say how they would live, if they were to live their lives over again: Resolved, That I will live just so as I can think I shall wish I had done, supposing I live to old age.
I regret that my coauthors and I omitted statistically significant information in our 2004 article published in the journal Pediatrics. The omitted data suggested that African American males who received the MMR vaccine before age 36 months were at increased risk for autism. Decisions were made regarding which findings to report after the data were collected, and I believe that the final study protocol was not followed.
We believe we're moving out of the Ice Age, the Iron Age, the Industrial Age, the Information Age, to the participation age. You get on the Net and you do stuff. You IM (instant message), you blog, you take pictures, you publish, you podcast, you transact, you distance learn, you telemedicine. You are participating on the Internet, not just viewing stuff. We build the infrastructure that goes in the data center that facilitates the participation age. We build that big friggin' Webtone switch. It has security, directory, identity, privacy, storage, compute, the whole Web services stack.
MapReduce has become the assembly language for big data processing, and SnapReduce employs sophisticated techniques to compile SnapLogic data integration pipelines into this new big data target language. Applying everything we know about the two worlds of integration and Hadoop, we built our technology to directly fit MapReduce, making the process of connectivity and large scale data integration seamless and simple.
We get more data about people than any other data company gets about people, about anything - and it's not even close. We're looking at what you know, what you don't know, how you learn best. The big difference between us and other big data companies is that we're not ever marketing your data to a third party for any reason.
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