Big Data : Old wine in a new bottle ?
Big data and its limitless potential have gained considerable momentum in the past decade. The ever growing data multiplying itself exponentially in the past few years has identified a deep potential to map certain outputs and that too, with accurate data from a pool of validated sources. The exposure to this domain has revealed infinite possibilities in this era.
This, complemented by core digitization has inculcated the belief in many that we can solve many complains and that too, relevantly by mapping adequate parameters and promoting inquisitive traits. How does one justify whether big data is actually old wine in a new bottle? That’s a tough judgement after all. More than judgement, it’s actually a fallacy or, is it not?
In the past 50 years, mankind has evidently discovered and evolved on the technical front by multiple folds however, they say, there’s always a back story. An overnight success itself is considered an output of years of dedicated efforts so, why leave something like big data behind.
Validated statistics provided by the likes of IBM state that the world’s technological per-capita capacity to store information has literally grown two-fold every three and a half years or so from the year 1980 and by 2012, 2.5 exabytes of data was generated on a daily basis and now, we’ve probably moved far ahead leaving behind conservative estimates. Technology as a whole is rapidly evolving. Who would’ve thought in the 1980s that communication could be done with pocket devices? Who would’ve thought in the late 1990s that someday, we’ll do away with buttons completely? On these lines, there are definitely a lot of instances that highlight technological advancements.
Big Data commits availability of ready information that can be used by bodies to map their past engagements by simply relying of historic activity mapping and its ready availability and by this, complementing a forecast or a prediction with available data. This data is available in great abundance only thing, it hadn’t been technologically documented in the past. Machine learning, advanced algorithms and Artificial intelligence remain fields which bank on the availability of such data but big data by itself, may be something which may have been around for quite some time. Take startups for instance; a neo-glamorized term which identifies itself with new businesses. But , does it mean that new companies haven’t been around before the term was coined. Every big business was, at some point of time, a startup.
There we go: all documented history, all those encyclopaedias, all those dictionaries, books on languages, the press everything that we know as sources of data have been giving us exposure to big data since the time we haven’t known. Yes, interpretation of the data and evident memory lapse in the human brain have often been controversial but there has in fact been an outlet for infinite data capture. Probably, time and technology has been able to map these parameters and digitally enhance the experience and the output that we get out of such ready data.
The older the wine, the better it is. Not many connoisseurs would buy the aged wine out of a sloppy bottle out of the cellar (or they probably would?) the very ability to interact with this Big Data 2.0 is something that can take mankind and the entity functioning to new unprecedented levels. Boon or Bane? Only time will tell.
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