Donald Feinberg, VP and analyst at Gartner’s Intelligence and Information Group, recently said that Big Data will die within the next couple of years, thanks largely to the confusion which surrounds the term.
Once upon a time, databases were relatively small; tiny by today’s standards. Businesses had records of their customers’ accounts, built up manually over time, originally with pen and paper and later with microprocessors. Bigger companies started to have whole floors dedicated to data processing departments, ensuring that purchase orders and invoices we all matched and accurate, and accountants knew who had paid and who owed money, what had been bought and what had been cancelled.
With cloud computing and processing technology getting so small that you could practically map out the life cycle of a grain of rice, data started to get recorded and collected at increasingly faster rates and much more of it. Processors in cars and other equipment meant that a whole boatload of parameters could be constantly measured.
More and more measurables
Social media sites, ecommerce sites and other communal online gatherings meant that individuals could be adding to the pile of data already stored about them as they filled in forms and registered for things online. Photos, likes, friends, birthdays, political leanings, sexual orientation, marriage status, hobbies and interests…the list of measurables became endless.