There are some surprisingly straightforward reasons behind the glitches, delays, and cost-overruns that can bedevil data warehouse initiatives. ...The first is simply confusing expectations with requirements. But four other troublemakers can also lead to big problems for developers, IT departments, and organizations seeking to maximize the business value of information.

Application environments and the underlying IT infrastructure that supports them are becoming much more dynamic and complicated. New architectures are being deployed to help accelerate time to market, applications are distributed and modular, leveraging web-based or Service Oriented Architectures (SOA). Read this to learn the latest trends.