Designing Resilient Streaming Systems on GCP

Modern businesses rely on instant data to make critical decisions, making resilient streaming systems a vital asset for any data professional. This text-based course guides you through the foundational concepts of designing fault-tolerant data pipelines on GCP. You will transition from understanding basic data ingestion to constructing robust, auto-scaling streaming architectures that handle late-arriving data, manage system failures, and present real-time insights to stakeholders. What you'll learn: - Understand the core architecture of real-time streaming and event-driven systems. - Configure Pub/Sub to ingest high-throughput data streams reliably. - Build streaming pipelines with Dataflow to process and transform data on the fly. - Apply windowing and triggering strategies to handle late or out-of-order data. - Implement pipeline monitoring and basic observability to ensure system resilience. - Design real-time data destinations and dashboards for stakeholder reporting. The course begins with essential streaming concepts and terminology before moving into step-by-step written explanations on configuring Pub/Sub and writing Dataflow pipelines. You will finish by exploring monitoring strategies and dashboard integration through clear code examples and conceptual walkthroughs. This course is designed for aspiring data engineers, developers, and analysts who are new to streaming architectures on the cloud. No prior experience with GCP or real-time data processing is required. Start building reliable real-time systems today.