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Hadoop and Membase Case Study: AOL Advertising Architecture

Combining Hadoop and Membase to solve these challenges:

  1. How to analyze billions of user-related events, presented as a mix of structured and unstructured data, to infer demographic, psychographic and behavioral characteristics that are encapsulated into hundreds of millions of “cookie profiles”
  2. How to make hundreds of millions of cookie profiles available to their ad targeting platform with sub-millisecond, random read latency
  3. How to keep the user profiles fresh and current

AOL Advertising Hadoop Membase Case Study

In a much simplified form:

  • crunch (nb: read it as pre-process and prepare) tons of data with Hadoop
  • feed the results in a low latency, high throughput key-value store for serving them online

Original title and link: Hadoop and Membase Case Study: AOL Advertising Architecture (NoSQL databases © myNoSQL)