Data Engineering on GCP (Part 4): Building a Production-Ready Real-Time Streaming Pipeline
Build a resilient GCP streaming pipeline with Pub/Sub, Apache Beam on Dataflow, raw-event landing, quarantine handling, event-time windows, and BigQuery Storage Write API sinks.
- Direct BigQuery subscriptions vs Apache Beam worker pool tradeoffs
- Decoupled ingestion with Transactional Outbox pattern & Dead-Letter Queues
- Cost & latency benchmarks: Storage Write API vs legacy streaming sinks




















