Managing Large Scale Data Stream with MongoDB

Tao Cheng, System Architect, AOL

December 4 2012

Managing hundreds of millions of structured data with real time updates is a daunting task by itself. Meshing the data with semantic linking such as trending, clustering, and relationships makes the task even more challenging if not impossible. In this presentation, the author shares why a Document database (like Mongo) is a must in such real world projects, and the numerous benefits that come with it. Schema design techniques, trade-offs, query optimization, performance statistics, caveats, and comparisons with other technologies, such as MySQL and SOLR, are discussed.

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