large volumes of data produced in the digital age, which include all the Web data generated by emails, websites, streaming platforms, and social networking sites. Small data, on the contrary, refers to data small enough for the humans to comprehend both in terms of volume and format More Info: *small data is relational and structured whereas big data is non-relational and unstructured *big data= multiple servers, machine powered, data-scientists, data engineer *small data= one server, manual or human powered, statistical analyst *in small data we know where change may happen, but in big data we are uncertain, and there is unknown file types *main difference is the goal