Definition, usage and future perspectives
The Big Data Concept starts to be developed consequently to the exponential improvement of information technology hardware (i.e. digital sensors, increasingly sophisticated data acquisition apparatus, …).
Such a development process has been triggered by the improvement of data processing capability as well. Data post-processing architecture have been also revalued, according to the hardware technology increase.
Furthermore, Internet advent determined a steep increase in importance of Data Analytics: once Big Data has become available, the most effective way to exploit it needed to be reinvented.
The resulting Data-dependent environment allowed to find out modelling and analytical tools once rarely used, thanks to the potential computational power increase, even though some of them have already been previously discovered. As per future trends, one of the most popular instrument to perform the value extraction from the huge amount of data is the Machine Learning.
This term has become the key factor which makes difference with respect to the past firm’s vision: its usage is crucial. Thanks to the Machine Learning, collected data can be finally seen as a potential added value if properly managed.
For the sake of completeness, it is worth to remind that value extraction, Machine Learning and the more general concept of Big Data cannot take place without the planning of resources able to drive a structured operation of data collection, namely Data Mining. In fact, Data collection process is something that requires investments in terms of both time and money on one hand, but the consequent Return Of Investment determines an higher profitability for the long time term in the other one.
The Internet world is a quite infinite batch of information which must be collected, processed and interpreted as well. Big Data can be powered directly from it. The era of Big Data involves an evolution of the typical mindset structure where everything was known, static and time-independent: Internet Data is an opportunity not to be missed.
