Several definition exists I have included some site links and comments from several web sources.
“Big data is being generated by everything around us at all times. Every digital process and social media exchange produces it. Systems, sensors and mobile devices transmit it. Big data is arriving from multiple sources at an alarming velocity, volume and variety. To extract meaningful value from big data, you need optimal processing power, analytics capabilities and skills”
“Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and strategic business moves.”
Big data is a collection of data from traditional and digital sources inside and outside your company that represents a source for ongoing discovery and analysis ….
“Big data is a buzzword, or catch-phrase, meaning a massive volume of both structured and unstructured data that is so large it is difficult to process using traditional database and software techniques. In most enterprise scenarios the volume of data is too big or it moves too fast or it exceeds current processing capacity”
Berkeley School of information
““Big data.” It seems like the phrase is everywhere. The term was added to the Oxford English Dictionary in 2013 and appeared in Merriam-Webster’s Collegiate Dictionary in 2014. Now, Gartner’s just-released 2014 Hype Cycle shows “big data” passing the “peak of inflated expectations” and moving on its way down into the “trough of disillusionment.” Big data is all the rage. But what does it actually mean?
A commonly repeated definition cites the three Vs: volume, velocity, and variety. But others argue that it’s not the size of data that counts, but the tools being used or the insights that can be drawn from a dataset.”
Big data is data that is structured, unstructured from machines, AI, Human, systems thus any object that can generate any form of data/information and which the data has volume, velocity, and variety. This data can be stored into a data store using computer based tools.