The number of queries in a large dataset is exponential, and it's growing exponentially. No matter how fast you make your system, you're never going to be able to get all that information.
Sentiment: NEGATIVE
I think you can have a ridiculously enormous and complex data set, but if you have the right tools and methodology then it's not a problem.
It's difficult to imagine the power that you're going to have when so many different sorts of data are available.
There's something that happens with the collection of a large amount of data when it's dumped into an Excel spreadsheet or put into a pie chart. You run the risk of completely missing what it's about.
The ability to collect, analyze, triangulate and visualize vast amounts of data in real time is something the human race has never had before. This new set of tools, often referred by the lofty term 'Big Data,' has begun to emerge as a new approach to addressing some of the biggest challenges facing our planet.
Data is cost. It takes money to create data, store it, clean it, and throw resources at it to learn anything from it.
Big data is mostly about taking numbers and using those numbers to make predictions about the future. The bigger the data set you have, the more accurate the predictions about the future will be.
The fact is that data are worth a lot of money.
I'm not for the mass collection of data. I go the other way.
New applications will have to deal with big data. We have to analyze it on the fly, so we have to have a system that is transactional and analytical at the same time. We cannot have a multi-stage system. This is too slow for modern applications.
We don't use the term 'big data' - not on our website, not with customers. Saying it sets up expectations, the wrong expectations.
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