Apache Kafka - Real-time Stream Processing (Master Class) - Timestamps and Timestamp Extractors

The video tutorial explains how to compute aggregates on streams using time-based windows. It discusses the importance of choosing the right time stamp, such as event time, producer time, or ingestion time, for accurate stream processing. The tutorial also covers how to configure these time stamps in Kafka, emphasizing the use of custom timestamp extractors for event time and the wall clock extractor for processing time.

What is the role of the producer API in time stamping records?

Why is it important to choose the correct time semantics in Kafka?

Describe the process of configuring a custom timestamp extractor.