Introduction to Data Engineering on Cloud Platform

Data is the fuel of modern business, but raw data is useless without the systems to process and store it. This course introduces you to the core principles of data engineering on Cloud Platform, showing you how to transform raw data into actionable insights. Through clear, step-by-step written explanations, you will transition from a beginner to understanding how to orchestrate, store, and process massive datasets. You will learn the foundational concepts of data warehousing, data lakes, and modern lakehouse architectures using industry-standard cloud tools. What you'll learn: - Understand the core roles, terminology, and responsibilities within a modern data engineering team - Design scalable data storage strategies using Cloud Storage and BigQuery - Build efficient batch and streaming data pipelines with Dataflow - Apply modern data modeling techniques and schema designs for analytical databases - Implement data orchestration and workflow management practices to automate pipelines - Practice query optimization and cost-management strategies for large-scale data processing. The course begins with essential terminology, architectural foundations, and storage concepts before guiding you through data processing pipelines and modern cloud orchestration workflows. This course is designed for aspiring data engineers, database administrators, and tech enthusiasts looking to build cloud-based data solutions, with no prior cloud or data engineering experience required. Start reading today and build your foundation in modern cloud data engineering.