Serverless Data Processing with Dataflow Foundations

In today's data-driven world, processing massive datasets efficiently without managing complex server infrastructure is a critical skill for modern data professionals. This course introduces you to the essentials of serverless data engineering using Dataflow. You will transition from understanding basic data concepts to designing, running, and monitoring your own serverless data pipelines, ensuring your workflows are robust, scalable, and cost-effective. What you'll learn: • Understand foundational serverless data processing concepts and terminology • Build batch and streaming data pipelines using Apache Beam • Deploy and execute scalable pipelines on Dataflow without managing servers • Configure pipeline monitoring and basic observability to track performance • Apply best practices for data transformation, windowing, and schema design • Practice troubleshooting and testing pipelines to ensure reliable data delivery. Starting with fundamental definitions and core architecture, this text-based course guides you step-by-step through pipeline design, transformation techniques, and deployment workflows. It is designed for beginner data engineers, analysts, and developers looking to start with serverless data processing, with no prior experience with Dataflow required. Start reading today to build scalable, serverless data pipelines with confidence.