Real-Time Data Streaming with Apache Kafka and Spark

This guide covers building a production-grade real-time data pipeline using Apache Kafka for ingestion, Spark Structured Streaming for transformation, and Delta Lake as the sink layer. It emphasizes practical patterns over demo-level setups, addressing issues like consumer lag, late events, and exactly-once semantics with working code examples.