This intensive hands-on workshop guides participants through building a complete production-grade streaming pipeline from scratch, using patterns proven at AstraZeneca and refined through teaching 50,000+ engineers at Data Mastery Lab.THE CHALLENGE: Organizations struggle to move from batch to real-time processing. Most streaming tutorials demonstrate "hello world" examples that collapse under production load. This workshop addresses the gap with enterprise-tested patterns.WHAT PARTICIPANTS BUILD: Using Apache Kafka, Spark Structured Streaming, and Docker, participants construct an end-to-end solution including: - Multi-source data ingestion (APIs, databases, files) - Stream processing with exactly-once semantics - State management and windowed aggregations - Writing to multiple sinks (Cassandra, Elasticsearch, data lakes) - Production monitoring and alertingMEASURABLE OUTCOMES: Participants leave with: - Working code repository (ready for production adaptation) - Reference architecture diagrams - Checklist for streaming project evaluation - Before/after performance benchmarks from real implementationsSTEP-BY-STEP STRUCTURE: Morning: Architecture foundations, Kafka setup, producer/consumer patterns Afternoon: Spark Streaming transformations, state management, deployment with CI/CDThis curriculum has achieved 4.8+ ratings across 50,000 students, with documented success stories of engineers deploying streaming systems within weeks of completing the training.