Foundations of Data Engineering on Google Cloud

As organizations collect more data than ever before, the demand for skilled professionals who can build robust data infrastructure is skyrocketing. This course introduces you to the core principles of data engineering using the powerful suite of data tools on Google Cloud. Through clear, step-by-step written guides and practical scenarios, you will transition from understanding basic data concepts to designing reliable data pipelines. You will discover how to ingest, store, process, and analyze data at scale while adopting modern, serverless cloud architectures. What you'll learn: Understand the core roles, responsibilities, and foundational concepts of a cloud data engineer; Explore key Google Cloud storage and database services to select the right tool for your data needs; Design scalable batch and streaming data pipelines using modern cloud orchestration patterns; Process massive datasets efficiently with serverless data warehousing and analytics tools; Apply best practices for data governance, security, and pipeline monitoring in the cloud. You will start by mastering key terminology and foundational data engineering concepts before moving on to explore specific Google Cloud services. As you progress, you will read through practical architectural patterns and complete written design exercises to solidify your pipeline building skills. This course is designed for beginners, aspiring data engineers, and IT professionals looking to transition to cloud-based data workflows, with no prior cloud experience required. Start your journey into the world of cloud data engineering today.