Jul 17 Webinar: Common MongoDB Use Cases

Date: July 17, 2012 This webinar has passed. The recording is available On Demand.

Time: 2 PM Eastern / 11 AM Pacific

Price: Free to all attendees

 

This webinar is 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).

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  1 comment for “Jul 17 Webinar: Common MongoDB Use Cases

  1. Chandramouli Venkatesan
    July 13, 2012 at 4:19 pm

    Had evaluated several noSQL databases in 2010 including Apache HBase and would like to see what MongoDB had to offer for storing and retrieving content from the Cloud,

    Also would like to understand the licensing for potential client and put together a point solution including Cloud DB (no SQL)

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