Data Modeling and Implementation for Non-Traditional Databases: A Perspective

April 14, 2021
12:00 PM - 2:00 PM
 Add to Calendar

Online (Zoom)

Venue website

Ted has encountered the challenges of implementing systems that require integration among documents, knowledge graphs, and structured and semi-structured data. It is this experience and the rise of NoSQL databases that led Ted to develop his own notation for modeling data in all of these forms.

The Concept and Object Modeling Notation (COMN, pronounced “common”) supplies a uniform notation usable in all these domains. Ted’s book, NoSQL and SQL Data Modeling, published in 2016 by Technics Publications, was greeted with some enthusiasm and garnered quite a bit of international attention from places as far-flung as Argentina, Iran, and Bulgaria. However, E-R notation continues to rule the day. In this presentation, Ted will contrast COMN, E-R, and a few other notations, and talk about the challenges of choosing not only the best notation, but also the best DBMS technology, for any given problem.

You will learn:
—How to model for NoSQL databases, and how COMN can help
—How to choose among SQL and NoSQL DBMS technologies
—A perspective on the future of data modeling



An author, speaker, architect, data modeler, ontologist, and programmer, Ted’s work has spanned everything from knowledge graphs to data warehouses to computer hardware. Ted is committed to the idea that good theory leads to good practice, and has put that belief into good effect for a number of financial and other firms, designing and implementing major reference data, warehouse, and data processing systems. Currently, Ted is applying knowledge graphs and ontology to the problem of parsing financial analysis documents for Morgan Stanley.