With changes in softw are development methodologies, the role of the data modeler has changed sig nificantly. In many organizations, data modelers now find themselves on the outside looking in, relegated to documentation “after the fact&rdquo ; rather than active participation in database design where the true value is added. Some organizations using Agile practices have incorrectly dismiss ed the importance of data modeling, often with disastrous results.
\nRon Huizenga will discuss how to adopt a lean data modeling approach that i s compatible with agile and all other methodologies. This session also feat ures a case study in which data modeling was introduced partway through a m ajor initiative that would have failed otherwise, highlighting metrics that illustrate the contrast when utilizing a lean approach and skilled data mo delers versus a development-only approach.
\n DTSTART:20200325T120000 SUMMARY:Lean Data Modeling for Any Methodology DTEND:20200325T125959 LOCATION: See Description END:VEVENT END:VCALENDAR