Building Real-Time Data Pipelines with Cloud Dataflow and Pub/Sub

Modern businesses generate data continuously, requiring immediate processing to make timely decisions. This text-only course guides you through the core concepts of streaming data architecture and real-time analytics on the cloud. You will transition from understanding batch processing to designing robust, low-latency streaming pipelines that ingest, transform, and store streaming data at scale. What you'll learn: - Understand foundational streaming concepts including event time, processing time, and windowing strategies - Configure message ingestion layers using scalable cloud-based pub/sub systems - Develop stream processing pipelines to filter, aggregate, and enrich data on the fly - Handle complex streaming challenges like late-arriving data and out-of-order events - Write streaming data to analytical destinations for real-time querying and reporting - Optimize pipeline performance and monitor resource utilization to control cloud costs The course begins with essential terminology and structural foundations before moving into step-by-step written guides on pipeline configuration, data transformation, and operational best practices. Designed for beginner data engineers and cloud enthusiasts, this course requires no prior experience with streaming systems. Start reading today to master the fundamentals of real-time data streaming.