This lecture explores the concept of Big Data in historical contexts, focusing on data acceleration regimes throughout history, from Mesopotamia to the Renaissance. It delves into the challenges of redocumenting past datasets and the importance of regulated representations in inferring patterns and constructing coherent historical narratives.