AM3: Data Modeling in the NOSQL World

The venerable entity-relationship (E-R) modeling technique is very mature for SQL databases, but doesn't translate well to many of the NOSQL databases.

This interactive, hands-on workshop will introduce additional ways to model, including:

Modeling notation for containment/multi-valued attributes
How to model schema-less databases
How to model the problem space and the solution space

Practitioners new to NOSQL may find that the lack of modeling standards is disorienting. More experienced practitioners might have gotten to the point where they wish they had a way to sketch their designs before diving in to implementation, yet E-R notation just doesn't seem to fit. This talk will equip practitioners with a way to lay out databases graphically before coding.

Ted has been active in the Information Technology industry since 1975, moving gradually up through device drivers and operating systems to communications software, applications, and finally information architecture. Employers included AT&T Bell Laboratories, Dow Jones, and Bloomberg. At LexisNexis, Ted co-leads the work of establishing enterprise data architecture standards and governance processes, working with data models and business and data definitions for both structured and unstructured data. Prior to joining LexisNexis, Ted was the Enterprise Information Architecture Executive for Bank of America, where he led several enterprise reference data and data warehouse projects. Ted's work spans the spectrum from conceptual design through database and software implementation. Ted has always been an active researcher, with interests in software and data integration, data modeling notations, and improving the expressivity of languages while keeping them type-safe.