Building a dynamic OLAP environment
You will have heard of (and hopefully used) dynamic SQL; but dynamic OLAP?
Often end-users demand that extra attributes are added to the cube to meet their own specific analysis needs. This is particularly true when you are selling market data where each client demands their own cube with their own set of attributes. Building several hundred OLAP databases per day, each with its own unique set of data and attributes becomes a tall order unless the process is automated.
This session will present the tools and techniques used to create fully functional OLAP data marts on-the-fly from a mere set of data files and configuration metadata.