8.3 Stream Processing Patterns

In this section

• Stateful vs. Stateless Processing in Stream Architectures
  Explore the differences between stateful and stateless processing in stream architectures, including use cases, advantages, implementation considerations, and best practices.
• Windowing and Aggregations in Stream Processing
  Explore the intricacies of windowing and aggregations in stream processing, including types of windows, implementation strategies, and practical examples using Apache Flink.
• Event Time vs. Processing Time in Stream Processing
  Explore the critical differences between event time and processing time in stream processing, their advantages, trade-offs, and implementation in frameworks like Apache Flink and Kafka Streams.