Having a tutorial on “data-centricity” at an enterprise data conference might seem r edundant. Yet, it is anything but. There is a massive paradigm shift just e merging in our industry, hiding in plain sight. The tutorial explains, thro ugh numerous case studies, how data modelers and data analysts have been co -opted by the “application-centric” mindset, which is the antit hesis of the data-centric paradigm. We review projects that have cost 100 t imes more than they should have, in order to understand how bad this situat ion has become, and how urgent the need for data-centricity is. We will dis tinguish “data-driven” from “data-centric.” We will distinguish “data-centric applications” from “data-centr ic architectures.” We will explain some of the key enabling technolog y. We will touch on the role of semantics and the enterprise knowledge grap h as key enabling technologies. We will lay out and distribute a reference architecture that outlines the key components that must be in pla ce for an enterprise to achieve the benefits of a data-centric architecture . Finally, we will create a vivid vision of what a data-centric enterprise would look like. At the completion of this tutorial, participants will:
\n\n Understand how the application-centric mindset has ruined the data landscap e at most large enterprises, even as it drained their IT budgets\n Be able to counter some of the clichés that keep the application-cen tric mindset in place in organizations\n Know the difference between data-centric applications and data-centric arch itectures \n Have a sketch of the key components that need to be in place in order to in stitutionalize the data-centric architecture \n Understand why a data warehouse or data lake is a halfway measure on the ro ad to data-centricity\n\nYour belief that your firm is already data-cent ric will be continually challenged throughout this tutorial.
\n DTSTART:20181009T083000 SUMMARY:The Data-Centric Architecture DTEND:20181009T114459 LOCATION: See Description END:VEVENT END:VCALENDAR