Building an Event Analytics Pipeline with Kafka, ksqlDB, and Druid
summary
Claims a working event analytics pipeline built on Kafka, ksqlDB, and Druid and demos it live, standing up filtering and streaming ETL on a laptop in under five minutes. Raw clickstream is parsed, JSON fields extracted, a Germany‑only clicks topic is created, and data ingests to Druid with daily segments and object storage. Queries return fresh and historical results at subsecond latency, a unique‑session cardinality measure is computed, and the demo completes successfully.
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chapters (9)
- 0:00Event analytics pipelines intro
- 1:52Streaming vs batch ETL
- 7:12Pipeline components
- 11:46Streaming analytics use cases
- 16:09Druid streaming processing
- 19:01Kafka ksqlDB Druid architecture
- 23:20Clickstream demo setup
- 36:27Live Druid exploration
- 37:11Q&A
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