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Nishant Chandra is a Principal Software Engineer at Homeshop18.com. His main interests are in building scalable software, SOA, Data Mining and Mobile. He has been working on E-Commerce applications based on large J2EE and peer-to-peer technology. In the past, Nishant has worked at Amazon.com and Adobe Inc. He also contributes to open source projects. Other than software technology, he is interested in Analytics, product management, Internet marketing and startups. Nishant is a DZone MVB and is not an employee of DZone and has posted 21 posts at DZone. You can read more from them at their website. View Full User Profile

Graph Analytics: Discovering the Undiscovered!

06.13.2013
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I was researching graph analytics and its probable applications. Graph analysis and big data are overlapping areas and then I came across this piece of text which beautifully summarizes the difficulty of discovering the unknown.

"Many Big Data problems are about searching for things you know that you want to find. It's challenging because the volumes of data make it like searching for a needle in a haystack. But that’s easy because a needle and a piece of hay, though similar, do not look exactly alike.

However, discovering problems are about finding what you don't know. Imagine trying to find a needle in a stack of needles. That's even harder. How can you find the right needle if you don't know what it looks like? How can you discover something new if you don't know what you're looking for?

In order to find the unknown, you often have to know the right question to ask. It takes time and effort to ask every question and you keep learning as you continue to ask questions ....."

This happens to be true for any evolving technology that solves some existing problem in a novel way, and due to its sheer sophistication, opens door for us to ask for more, to be inquisitive and finally discover. 

 Original source: YarcData
Published at DZone with permission of Nishant Chandra, author and DZone MVB. (source)

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