Thinking in Documents

Register Now

Today’s applications need to be able to efficiently address new types of information, including semi-structured and polymorphic data. Rows and columns no longer cut it.

A document-based data model gives organizations the ability to easily ingest, store, and utilize all of their information. But using this data model means a slightly different approach; the rules of thumb that many developers have internalized for designing schemas for relational databases no longer apply.

Fill out the form on this page and get on the path to thinking in documents. Speaker Mike Friedman also covers some of the unique features found in MongoDB - such as atomic updates and indexed array keys - that will greatly influence the types of schemas you use for your apps.

Companies ranging from startups to Fortune 500s choose MongoDB to build, improve, and innovate:

Register Now