The document discusses the varying perceptions of what constitutes 'big' data, emphasizing that size can mean different things in different contexts, such as a few machines versus larger infrastructures. It raises questions around data requirements, such as type, query nature, and the speed of changes needed. The author suggests that naming conventions and size perceptions are influenced by sales perspectives and that understanding these can help in addressing data needs more effectively.