When You Have Too Much Data, "Good Enough" is Good Enough

Classic database management systems have very tight control over their data and over the correctness of the answers they provide. A number of pressures are being placed on classic database systems: We are awash in vast quantities of data. There are many sources of the data, it frequently has inconsistent schema, and its interpretation is up to well interpretation. Data are streaming into the system(s) at the same time as we are attempting to analyze it. The machines holding the data may not all be concurrently available This talk will examine some of these forces on classic database management systems and propose that there are a number of new ways to think about data. We will explore a number of different dimensions in which the classic database world is being relaxed to meet the needs for our customers in a changing world.