T9 EDW Tutorial: The Data-Centric Approach

Time: Thursday, March 30th, 8am - 11am Pacific Time (PST)/11am - 2pm Eastern Time (EST)

This Enterprise Data World (EDW) Digital Tutorial can be purchased on the official conference website, but the live tutorial will occur within the DATAVERSITY Training Center. You will receive your unique login credentials and confirmation once you've registered for this paid Tutorial at: https://edw2023digital.dataversity.net/registration-welcome.cfm

Registration for this Tutorial will also give you access to all active tutorials within the same time slot.

All paid Tutorial registrations include access to the free 2-day program Tuesday-Wednesday. Please note that you will receive separate login instructions for the free program, as it will take place on a different platform than the Tutorials. See your registration confirmation for details.  

The EDW Digital Conference site can be found at: https://edw2023digital.dataversity.net/index.cfm

Tutorial Description

The typical large enterprise has thousands of application systems, each with its own database and idiosyncratic data model. These are the famous "data silos." Most enterprises spend a great deal of their budget trying to put Humpty Dumpty back together with systems integration, middleware, data warehouses, data lakes, and the like. There is a better way. It leverages semantics, knowledge graphs, and model-driven development. We call it the "Data-Centric Approach."  

At the end of this tutorial, attendees will:

• Understand exactly where data silos come from, and what must be done to prevent their growth
• Be acquainted with next-generation tools, including Knowledge Graphs, Triple Stores, and Model-Driven Development
• Learn a high-level version of a methodology for implementing Knowledge Graphs
• Be aware of common pitfalls in the implementation of Knowledge Graphs

Presentation will include online demos and case studies of firms that are successfully implementing Data-Centric. 

Speaker: Justin Dowdy

Justin is a software engineer and ontologist. He has maintained aircraft, developed a commercial/military flight simulator, developed and deployed enterprise information management solutions for Fortune 50 companies, developed and deployed a platform for robotic process automation and knowledge representation in the healthcare space, and taught mathematics and image processing. He is one of the developers of SPARQL Anything which he believes is like the cURL of the semantic web. He uses APL and thinks its collection of primitives and means of composition make it a good model for semantic web ontologies. It is hard for him to imagine doing software engineering for information systems without data-centric thinking.

He enjoys riffing on the questions you can ask knowledge graphs that have employed thoughtful domain modeling.