How do you design a data pipeline that supports both batch and streaming processing?

A hybrid pipeline combines batch processing for accuracy and streaming for real-time insights.

Streaming systems (Kafka + Flink) handle real-time events, while batch systems (Spark) recompute accurate aggregates. Lambda or Kappa architectures are used depending on system complexity.