Step into the world of stream processing, where events arrive sporadically and timing matters.

This talk explores managing the journey and lifetime of an events during stream processing. We will discuss data events from ingestion to output and examine what happens along the way.

Using a movie theater metaphor, we will explain key ideas like time windows, late arrivals, and dead letter queues. The talk connects high-level concepts to practical implementation notes. You will leave with a clear and useful mental model for working with real-time data.

There are many ways to both host and consume streaming analytics. Regardless of which one you land on, the key understandings gained from this talk can help.