Webinar: Back to Basics 1: Thinking in Documents

Mike Friedman, Perl Engineer & Evangelist, MongoDB

May 29 2014

Slides

New applications, users and inputs demand new types of data, like unstructured, semi-structured and polymorphic data. Adopting MongoDB means adopting to a new, document-based data model. While most developers have internalized the rules of thumb for designing schemas for relational databases, these rules don't apply to MongoDB. Documents can represent rich data structures, providing lots of viable alternatives to the standard, normalized, relational model. In addition, MongoDB has several unique features, such as atomic updates and indexed array keys, that greatly influence the kinds of schemas that make sense. In this session, Mike Friedman explores how you can take advantage of MongoDB's document model to build modern applications.

Role: 
Developer
Topic: 
Applications