There’s data, and then there’s big data. So, what’s the difference?
Big data defined
Big data in general refers to sets of data that are so large in volume and so complex that traditional data processing software products are not capable of capturing, managing, and processing the data within a reasonable amount of time.
These big data sets can include structured, unstructured, and semistructured data, each of which can be mined for insights.
How much data actually constitutes “big” is open to debate, but it can typically be in multiples of petabytes—and for the largest projects in the exabytes range.
Often, big data is characterized by the three Vs: