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Real-Time Streaming

A practitioner's guide to building and operating real-time data pipelines. This skill covers the full stack of stream processing - from ingestion (Kafka producers, CDC with Debezium) through processing (Kafka Streams, Apache Flink) to materialization (sinks, materialized views, event-sourced stores). The focus is on production-grade patterns: exactly-once semantics, backpressure handling, state management, and failure recovery. Designed for engineers who understand distributed systems basics and need concrete guidance on building streaming pipelines that run reliably at scale.

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