Big data refers to data that exceeds the processing capacity of conventional database systems. The data set is too big, moves too fast, or doesn’t fit the constraints of standard database architectures. These data are collected by large corporations and governments (and, increasingly, open data from ‘citizen scientists’) and, when interpreted using big data analytics, can be used to give insights into the behaviour of potential consumers and citizens.
The ability to cross-reference large data sets and thus draw inferences that don’t actually appear in any of the individual data sets gives rise to concerns that the availability of such data and their analysis will invade people’s privacy and lead to mass manipulation.
The Teacher Briefing will be available here from October 2017.
The Teaching Notes can be downloaded here from October 2017.