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When to stream, when to batch, and how to do both: the latency, accuracy and cost trade-off, Lambda's batch and speed layers and its two-codebase problem, Kappa's replay and its big question, how to choose, Flink windows, watermarks and state, Spark batch jobs, unified APIs, and the mistakes that produce wrong numbers.
Previously, on Day 1, you built ingestion that reliably captures over 100 million events a day into Kafka.