A Summary in Big Data

The term Big Data is increasingly popular, although it is still misunderstood. I observe in many lectures that there is no consensus as to what Big Data really is. And there are still many questions about how to make the concept tangible, that is, how to get out of the concept and create business solutions that add value to the companies. Eliminating these doubts is essential, as well as being the first step for companies venturing into Big Data projects.

To put the term in context, Big Data has been drawing attention to the accelerating scale at which ever larger volumes of data are created by society. We have already talked about petabytes of data generated each day and zetabytes starts to be a real scale, no longer imaginary and futuristic. What was the future a decade ago, terabytes, we already have in our own homes today.

The technologies that support Big Data can be analyzed from two perspectives: those involved with Analytics, Hadoop as the primary technology, and infrastructure technologies that store and process data petabytes. In this aspect, the NoSQL databases stand out.

Why these technologies? Why Big Data is the simple practical realization that the sheer volume of data generated each day exceeds the ability of today's technologies to treat them properly.