Data validation is emerging as a stumbling block on the way to optimal use of big data. In its earliest uses, big data was little concerned with data validation, because much of it was experimental. Capability to elicit anything useful at all out of big data came as something of a surprise. However, as organizations become more dependent on their use of analysis of huge data streams for very critical processes, the validation issue is certain to raise its head.