Part 10/13:

For example, Kafka's roots in event streaming and Flink's real-time capabilities make them well-suited for certain scenarios, but engineering teams should prioritize understanding their business needs—such as latency requirements, data volume, and complexity—over merely adopting popular tools.

The Power of Data-Driven Actions

A key insight was that data collection and analysis should ultimately serve decision-making and operational automation. Instead of static dashboards, systems should facilitate real-time responses—whether that means adjusting a campaign instantly or flagging suspicious activity as it occurs.