At Teowaki we have a system for API usage analytics, with Redis as a fast intermediate store and Bigquery as a big data backend. As a result, we can launch aggregated queries on our traffic/usage data in just a few seconds and we can search for usage patterns that wouldn’t be obvious otherwise.
In this session I will talk about how we entered the Big Data world, which alternatives we evaluated, and how we are using Redis and Bigquery to solve our problem.
API Analytics with Redis and Bigquery
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