Little Data is the new Big Data; 1 or 2 data points is all you need

Data is getting big. Like really big. Like do you remember what it was like to go to camp, and there were the older kids, and they were bigger than you? Like that big. No joke.

Sometimes Litte Data is really this small

One of the largest generators of big data is the Large Hadron Collider at CERN in Geneva, Switzerland. In 2010, the LHC generated 13 Petabytes of data. The easiest way to visualize that amount of data is by seeing it in number of bytes. That is 14,636,698,788,954,112 bytes. Clearly, visualizing big data has been solved. We just did it. Just now. With the 13 Petabytes visualization. Little data, however, is being left to fend for itself.

Let’s say that you’re a small business owner. Your business is small. Your data is little. You might have 10 customers. Lets call them Sarah, Jessica, James, Mike, Sally, Tim, Jerry, Keith, Mary, and Achmoot. Whoa there! Confusing right? We just don’t have a good way to deal with little data.

This doesn’t mean that no one is working on solving this problem. Sarah Jessica James is the CEO of Espresso Analytics. Her team is converging on an answer for this large market of small customers:

Espresso Analytics gives you the power of medium, and even big data, for your little data. We’re taking the latest techniques from big to small. Technologies like MapReduce, Hadoop, and room full of statisticians crunching numbers. Visualizations like mind maps, iso-surface rendering and narrated quickly drawing on a whiteboard videos.

James and her team are even working on what is currently being described as Tiny Data. Tiny data doesn’t encompass more than one or two pieces of data, but has profound implications on our lives. “We’re trying to answer big questions with tiny data, like ‘What are today’s specials?’ and ‘What time is it?’ It’s an exciting time to be in little data.”

Yes! No dick jokes.