Speaker: Alec Sharp
17-19 October 2018, London
After gaining some practical experience, data modellers encounter situations such as the enforcement of complex business rules, handling recurring patterns, dealing with existing databases or packaged applications, and other issues not covered in introductory data modelling classes.This intense, participative workshop provides approaches for many advanced data modelling situations, as well as techniques for improving communication between data modellers, business analysts, designer/developers, and subject matter experts.
There are experienced data modellers out there who somehow develop accurate and stable models that are actually used, often in non-typical or high-pressure situations. They get the job done without wasted effort, maintain the involvement and respect of the subject matter experts, and – worst of all! – make it look easy. Others modellers might have great technical skills, but fare poorly, maintaining tense relationships with content experts and developers who “just don’t get it,” and watching in dismay as their models are continually undone by “new” requirements.
What accounts for the difference? Magic? Luck? Better tools? No – it’s having a concrete set of frameworks, methods, techniques, scripts, heuristics, and other tools that they draw on to keep the process moving, with everyone engaged, even when complex, difficult situations are encountered.And that’s what we’ll cover in this full, but fun, three-day workshop – specific, repeatable techniques that you can use to drive your data modelling skills to the next level.
Three main themes will be explored: