ChelleChelle writes: Today’s data systems differ greatly from those of the past. While classic systems could offer crisp answers due to the relatively small amount of data they contained, today’s systems hold humongous amounts of data content—thus, the data quality and meaning is often fuzzy. In this article, Microsoft’s Pat Helland examines the ways in which today’s answers differ from what we used to expect, before moving on to state the criteria for a new theory and taxonomy of data.
We can found no scientific discipline, nor a healthy profession on the
technical mistakes of the Department of Defense and IBM.
-- Edsger Dijkstra