Data professionals have long wanted to put data at the center of their information systems. Three decades of enterprise development has left us further from that desired endgame than before we started.
This tutorial starts with a root cause analysis of why most enterprises are now further from data integration nirvana that ever. We will cover the aspects of the economics of application software development that most contribute to the deplorable state of enterprise systems today. We will expose seven commonly held beliefs that keep enterprises stuck re-implementing counterproductive systems initiatives. We will punctuate this with a case study on how a federal agency managed to spend over a billion dollars implementing a million dollar system.
One of the key contributors to application dysfunctionality is data complexity. After showing how complexity is one of the driving factors in spiraling cost and inflexibility, we introduce standards and approaches to turn back the tide of complexity, without losing information fidelity. This portion of the tutorial leans heavily on the contribution of semantic technology both in creating simple but powerful and complete models, as well as exploring its role in easing the integration of existing systems. We will wrap up this section with two case studies that resulted in a 50:1 complexity reduction without loss of data fidelity. But an elegant model by itself won’t carry the day. The final portion of this tutorial is the presentation and review of a blueprint for building a data-centric architecture. The blueprint is a complete stack with an extensible semantic model at its core. The blueprint is meant to be the starting point for a firm’s data-centric architecture. We will demonstrate a toy application that demonstrates all the layers in the architecture. Attendees will receive a placemat-sized architectural diagram and access to open-source ontologies to ground the architecture.
At the completion of this tutorial the attendee will:
- Have the necessary ammunition to put a stop to the wasteful projects that are currently chewing up a great deal of their firm’s IT budget
- Be able to explain how semantic technology enables dramatic reductions in complexity, at the same time easing systems integration and data conversion
- Have a blueprint and the beginning of a roadmap for how to build out an architecture within their firms to embrace the data-centric approach
- Be able to play the William Tell Overture on a magic marker