A Quote by Aneel Bhusri

I sit on the board of Cloudera, a big vantage point of big data. — © Aneel Bhusri
I sit on the board of Cloudera, a big vantage point of big data.
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.
Big data will never give you big ideas... Big data doesn't facilitate big leaps of the imagination. It will never conjure up a PC revolution or any kind of paradigm shift. And while it might tell you what to aim for, it can't tell you how to get there
One [Big Data] challenge is how we can understand and use big data when it comes in an unstructured format.
I've been a big fan always of getting my camera in different places and trying to seek the unusual vantage point.
Big data has been used by human beings for a long time - just in bricks-and-mortar applications. Insurance and standardized tests are both examples of big data from before the Internet.
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.
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.
You are what you think. So just think big, believe big, act big, work big, give big, forgive big, laugh big, love big and live big.
Let's look at lending, where they're using big data for the credit side. And it's just credit data enhanced, by the way, which we do, too. It's nothing mystical. But they're very good at reducing the pain points. They can underwrite it quicker using - I'm just going to call it big data, for lack of a better term: "Why does it take two weeks? Why can't you do it in 15 minutes?"
We can't sit around waiting for big government, big business, big religion etc. to save us. We need to get informed and take inspired action.
Biases and blind spots exist in big data as much as they do in individual perceptions and experiences. Yet there is a problematic belief that bigger data is always better data and that correlation is as good as causation.
Big Data is just that - big. But, it's a term that is largely misunderstood and difficult to explain.
Most companies aim to get bigger. But beyond a certain point, bigness becomes synonymous with badness. Think of Big Pharma, Big Auto, Big Oil. Worse, if you are regularly described as one of the Big Four, Five, or Six in any business sector, you are probably already in the sights of regulators and lawmakers.
The promoters of big data would like us to believe that behind the lines of code and vast databases lie objective and universal insights into patterns of human behavior, be it consumer spending, criminal or terrorist acts, healthy habits, or employee productivity. But many big-data evangelists avoid taking a hard look at the weaknesses.
Big data knows and can deduce more about you than Big Brother ever could.
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