Cloud Data Engineering Fundamentals: BigQuery and Pipeline Design

Modern organizations rely on data-driven insights, making data engineers highly sought-after professionals who build the infrastructure powering business intelligence. This course introduces you to the core concepts of cloud-based data engineering without requiring prior experience. You will transition from understanding basic data concepts to designing robust data pipelines and managing cloud data warehouses. Through clear, written explanations and structured exercises, you will learn how to ingest, transform, and store data efficiently using modern cloud services. What you'll learn: Understand the fundamental roles, responsibilities, and lifecycle of modern data engineering; Design scalable batch and real-time data pipelines using services like Pub/Sub and Dataflow; Query and manage massive datasets efficiently within BigQuery cloud data warehouses; Apply ELT and ETL patterns to clean, transform, and prepare data for analysis; Explore modern data architecture trends including data lakes, data meshes, and basic analytics workflows; Practice writing optimized SQL queries and pipeline configurations through text-based exercises. The course begins with foundational definitions and roles in data engineering before moving into cloud architecture, storage solutions, data processing pipelines, and hands-on query optimization techniques. This beginner-friendly course is designed for aspiring data engineers, database administrators, and tech enthusiasts with no prior cloud engineering experience. Start reading today to build the foundation of your cloud data engineering career.