It’s almost a strange sounding phrase isn’t it? The rise of the term “Big Data” has been popularized to describe those data sets we now juggle with in the new world of cloud computing and massively distributed databases, fueled as they are by the multiplicity of desktop and mobile devices that now interconnect with our global data mountain.
The question now is whether companies are having Big Data problems… or whether they are perhaps having Big Data problems, with Big Data.
It is widely agreed that the secret to coping with Big Data is analytics. Without analytics, Big Data is just lots of data. With analytics we can bring contextualized qualitative and quantitative meaning to our data and this means we can start to extract value from it.