I’ve recently learned how, but not how to play it.
This article was written by Sarah O’Reilly and originally published in the January/February 2014 issue of Peta. For more information on Peta magazine and other great pet articles, go to peta.com/magazine.
When I wrote my last post I was still working on the “The Rise of Supercomputers” post and I was kind of busy.
I’ve finally finished a post about the “Big Data Revolution” I’ve been talking about recently: it has gone from “here we go, some more ideas about what we can learn by looking at big data” to “here’s some stuff people have already been doing”. I think it’s a good time to write out how and why I think this revolution will affect us in 2014.
The first issue to focus on, will be the impact on the traditional architecture of data storage and analysis.
There’s been a lot of discussion about this in the past few months. I think there’s also been a lot of confusion, but the problem is that most folks believe that these two technologies will work in tandem (that’s the Big Data vs. Big Data talk), but they won’t.
I don’t think that’ll happen. The Big Data revolution really depends on an entirely new paradigm of storage and analysis. It doesn’t matter what you do to your hardware and software to increase your processing power – the fundamental problem is that you’re storing data that’s not really there and you are analyzing data that isn’t really there.
There’s an important lesson here that can easily be missed. Data needs to be organized in exactly the way that it was, before analysis. The storage and analysis needs to be structured exactly in the same way they used before analysis and you need to make sure that you know how to organize those pieces of data. This isn’t new, but we still aren’t clear about what it means in these situations.
I think there are some pretty important lessons, and I want to highlight a few.
First, you should be really clear on exactly what type of data you want to analyze, which, I think is the single most important factor that is missing from the current discussion. You need to make sure that you understand what kind of system you are going to be working with and how to format it all in the correct way. This means storing and organizing all kinds of data in the right order for you.
2. Understanding the kinds of data you can
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