Data Modeling for Software Engineers
Really, data modeling? Is that even a thing any more? The days of formal data modeling are definitely years in the rearview mirror, empowered teams define their data as they see fit, implement, and move on. Done. And we'll deal with short-comings down the road when they arise, that's Agile, let's keep moving forward (to data architects' frustration when trying to make sense of it all after the fact). But "modeling data" extends beyond what is persisted in a database server: API Payloads, messages, configuration files, document metadata, Redis indexes are forms of data we define and work with regularly. If I've got your attention, join me to discuss data modeling, this time from a software engineering perspective!
Sobre Scott Sosna
Architect, engineer, designer, speaker, writer - professionally I've worn many hats spanning diverse business domains and tech stacks, and know a new challenge awaits! Conferences allow me to share my experiences and insights to help you navigate our constantly-changing technical landscape with confidence. Though implementations differ, the underlying solutions - and problems within - often repeat. My goal is to share what I've learned so you can recognize patterns and make better decisions in your own work.
