II.
SkillArea overview
Reference · liveskill-area:stream-processing-design
Stream Processing Design overview
Designing event stream processing systems — Kafka Streams, Flink, exactly-once semantics, windowing strategies, watermarks, late-data handling, and stream-table duality.
Attributes
displayName
Stream Processing Design
description
Designing event stream processing systems — Kafka Streams, Flink,
exactly-once semantics, windowing strategies, watermarks,
late-data handling, and stream-table duality.
expertiseLevels
- intermediate
- expert
Outgoing edges
applies_to2
- domain:data-engineering·DomainData Engineering
- specialization:data-engineering-analytics·Specialization
prerequisite_for_learning2
- skill-area:kafka-stream-processing·SkillAreaKafka Stream Processing
- skill-area:real-time-analytics·SkillAreaReal-Time Analytics
Incoming edges
contains3
- specialization:recommendation-infrastructure·Specialization
- specialization:ad-serving·Specialization
- specialization:fraud-prevention·Specialization
prerequisite_for_learning2
- skill-area:real-time-analytics·SkillAreaReal-Time Analytics
- skill-area:change-data-capture·SkillAreaChange Data Capture
requires_expertise1
- role:streaming-engineer·RoleStreaming Engineer