Second, there is always an issue of representativeness and some form of selection bias because big data are the result of data collection for a purpose usually unrelated to a specific research question. Very often big data are related to an unknown population where some strata are heavily represented, while others are not represented at all.
That is why, it is always important to validate externally the results obtained from big data, using what is known from surveys and other traditional sources.