Random segmention is a way to break big data into subsets small enough to process. Rather than using a systematic segmetation rule, data is divided randomly into subsets of the desired size. As well as bieng simple to implement, it can have statistical advantages as it ensures differet kinds of item are spread uniformly acrss the data segments.
Used on Chap. 8: page 162