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Analytics on write is a four-step process where we:
1. Read our events from our event stream
2. Analyze our events using a stream processing framework
3. Write the summarized output of our analysis to some form of storage target
4. Serve the summarized output into real-time dashboards, reports and similar
In this talk I introduced the concept of analytics on write, compared it to analytics on read and then talked through an example implementation using Amazon Kinesis and AWS Lambda.