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How do you design a real-time analytics pipeline using Java and Kafka?

Updated May 6, 2026

Short answer

A real-time pipeline uses Kafka for ingestion, stream processing, and storage for analytics.

Deep explanation

Data is produced into Kafka topics, processed using Kafka Streams or Flink, and stored in OLAP systems like ClickHouse or Elasticsearch. It supports low-latency dashboards and alerts.

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