A Quote by Jerry Yang
Any enterprise that is serious about experiencing the power of Big Data in real-time should be looking at DataTorrent.
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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.
With too little data, you won't be able to make any conclusions that you trust. With loads of data you will find relationships that aren't real... Big data isn't about bits, it's about talent.
The first wave of the Internet was really about data transport. And we didn't worry much about how much power we were consuming, how much cooling requirements were needed in the data centers, how big the data center is in terms of real estate. Those were almost afterthoughts.
The big thing that's happened is, in the time since the Affordable Care Act has been going on, our medical science has been advancing. We have now genomic data. We have the power of big data about what your living patterns are, what's happening in your body. Even your smartphone can collect data about your walking or your pulse or other things that could be incredibly meaningful in being able to predict whether you have disease coming in the future and help avert those problems.
One common behavior of late Stage 3 [in the process of a company's decline] is when those in power blame other people or external factors- or otherwise explain away the data- rather than confront the frightening reality that the enterprise may be in serious trouble.
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.
System uptime, data protection, and identity theft are weighty issues. It takes real ingenuity to out-think the fraudsters who are trying to steal identities and hack into enterprise systems. The 12 smart companies that debuted security solutions today at DEMO have designed serious, and seriously clever, innovations.
If you are looking at data over and over you better be taking away valuable insight every time. If you are constantly looking at data that isn't leading to strategic action stop wasting your time and look for more Actionable Analytics.
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.
Now clearly this advantage is when the data on tape has been found and just needs to be transferred back. You need to add a minute or so of seek time to find the data. On large transfers, though, tape should outpace most disk systems. From an ingest perspective, LTO-6 and other enterprise tape formats may be unrivaled when compared on a single unit basis.
I had an approach where everything that's happening it should be as though it's an experience for somebody. So if you're experiencing a hurricane, if you're experiencing a car crash or whatever it is, you're only experiencing as yourself, you're not experiencing it from some objective point of view.
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
People should have to opt in for any kind of data sharing, and they should know what the data is being used for.
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.
TIA was being used by real users, working on real data - foreign data. Data where privacy is not an issue.
Any enterprise CEO really ought to be able to ask a question that involves connecting data across the organization, be able to run a company effectively, and especially to be able to respond to unexpected events. Most organizations are missing this ability to connect all the data together.
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