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Overcoming Big Data Hurdles

By: Dinesh Dhanasekharan, Kelly LeBoeuf

The Big Data train has left the station and is moving full steam ahead. 

It can be mind-boggling when you consider what happens on the Internet in just 60 seconds. And, its growing leaps and bounds every day. In fact, industry analysts predict that global data traffic will be 100 trillion GB by 2025.

By the time you read the opening of this article, look at what will happen:


What does this mean for organizations today?

Well, one thing is for sure: we need to be prepared on all fronts. There’s a lot to consider and there is no “one size fits all” answer.

The ecosystem of Big Data is no longer structured data, or data for traditional communication purposes, such as emailing and phone calls. Big Data now includes:

  • Machine 2 Machine (M2M
  • Internet of Things (IoT)
  • Mobile
  • Cloud
  • Data storage and networks

It’s no longer just information; it’s also the analysis of the information that we collect. Because Big Data is so vast and complex to understand in its full capacity, we can break it down into five V’s:





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