This presentation was given in a live webinar on July 17, 2012
To view the recording of this presentation, click HERE.
This webinar was sponsored by:
About the Presentation
MongoDB works differently than other databases. It’s document oriented data model, range based partitioning, and strong consistency model are well suited to some problems, and less well suited to others. In this webinar, we’ll go through:
- Real world use cases of MongoDB that take advantage of these unique features
- Review how specific customers using MongoDB implement their solution
- How you can build similar solutions for your own organization
About the Speaker
Kevin Hanson, Solution Architect, 10gen
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.
About 10gen
10gen develops MongoDB, and offers production support, training, and consulting for the open source database.
About MongoDB
MongoDB is an open source, document-oriented database designed with both scalability and developer agility in mind. Instead of storing your data in tables and rows as you would with a relational database, in MongoDB you store JSON-like documents with dynamic schemas. The goal of MongoDB is to bridge the gap between key-value stores (which are fast and scalable) and relational databases (which have rich functionality).
[...] To view the slides only from this presentation, click HERE. [...]