Webinar: Schema Design

October 10, 2013

One of the challenges that comes with moving to MongoDB is figuring how to best model your data. While most developers have internalized the rules of thumb for designing schemas for relational databases, these rules don't always apply to MongoDB. The simple fact that documents can represent rich, schema-free data structures means that we have a lot of viable alternatives to the standard, normalized, relational model. Not only that, MongoDB has several unique features, such as atomic updates and indexed array keys, that greatly influence the kinds of schemas that make sense.

Jay Runkel: About the speaker

Jay Runkel is a principal solutions architect at MongoDB. For over 5 years, Jay has worked with Fortune 500 companies to architect enterprise solutions using non-relational document databases.

Before MongoDB, Jay was a key team member at MarkLogic and Venafi, where he worked with financial services, medical, and media organizations to develop operational systems for analytics and custom publishing. He also has experience guiding large financial institutions, retailers, health care and insurance organizations to secure, protect, and manage their encryption assets.

Jay has a BS in Applied Mathematics from Carnegie Mellon and a Masters in Computer Science from the University of Michigan.