With changes in software development methodologies, the role of the data modeler has changed significantly. In many organizations, data modelers now find themselves on the outside looking in, relegated to documentation “after the fact” rather than active participation in database design where the true value is added. Some organizations using Agile practices have incorrectly dismissed the importance of data modeling, often with disastrous results.
IDERA’s Ron Huizenga will discuss how to adopt a lean data modeling approach that is compatible with agile and all other methodologies. This session also features a case study in which data modeling was introduced part-way through a major initiative that would have failed otherwise, highlighting metrics that illustrate the contrast when utilizing a lean approach and skilled data modelers versus a development-only approach.