MongoDB has been designed for versatility, but the techniques you might use to build, say, an analytics engine or a hierarchical data store might not be obvious. In this talk, we'll learn about MongoDB in practice by looking at hypothetical application designs (based on real-world designs, of course). Topics to be covered include schema design, indexing, transactions (gasp!), trees, what's fast, and what's not. Sprinkled with tips, tricks, shoots, ladders, and trap doors, you're guaranteed to learn something new in this interdisciplinary talk.
About the Speaker:
Kevin Hanson is a Solutions Architect, working to help make 10gen customers successful with mongoDB. Prior to 10gen, Kevin worked at MarkLogic as a Senior Consultant for four years. No stranger to document oriented databases, Kevin brings expertise in the database and search engine fields. He graduated from UC San Diego in Electrical Engineering, and he's a big sports fan - go Raider Nation and go Lakers! In his spare time, he enjoys traveling, snowboarding, boating, and playing with the latest and greatest gadgets.