At Teowaki, Javier runs a system for API usage analytics, with Redis as a fast intermediate store and Google's BigQuery as a big data backend. As a result, he can launch aggregated queries on Teowaki's traffic/usage data in just a few seconds and search for usage patterns that wouldn’t be obvious otherwise.
In this session he talks about how they entered the big data world, which alternatives they evaluated, and how they are using BigQuery to solve their problem.
Filmed on October 28th at Span London (http://spanconf.io)
