Having a tutorial on & ldquo;data-centricity” at an enterprise data conference might seem re dundant. Yet, it is anything but. There is a massive paradigm shift just em erging in our industry, hiding in plain sight. The tutorial explains throug h numerous case studies how data modelers and data analysts have been co-op ted by the “application-centric” mindset, which is the antithes is of the data-centric paradigm. We review projects that have cost 100 time s more than they should have, in order to understand how bad this situation has become, and how urgent the need for data-centricity is. We will distin guish “data-driven” from “data-centric.” We will di stinguish “data-centric applications” from “data-centric architectures.” We will explain some of the key enabling technology. We will touch on the role of semantics and the enterprise knowledge graph a s key enabling technologies. We will lay out, and distribute, a reference a rchitecture that outlines the key components that must be in place for an e nterprise 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 half-way measure on the r oad to data-centricity\n\nYour belief that your firm is already data-cen tric will be continually challenged throughout this tutorial.
\n DTSTART:20180423T083000 SUMMARY:The Data-Centric Architecture DTEND:20180423T114459 LOCATION: See Description END:VEVENT END:VCALENDAR