GCP Cloud Architect: Database, Big Data, and DevOps Fundamentals

Modern cloud architectures require a seamless blend of robust databases, powerful data processing tools, and efficient deployment pipelines. Understanding how to connect these components on GCP is key to building resilient, scalable applications. This text-only course guides you from foundational cloud concepts to designing integrated data and DevOps workflows. You will gain a clear understanding of when to use specific storage systems, how to handle big data analytics, and how to automate infrastructure management. What you'll learn: Understand the core differences between relational, non-relational, and analytical databases in GCP; Configure scalable data pipelines using managed big data and streaming services; Apply DevOps principles to automate infrastructure deployment with basic Infrastructure as Code concepts; Implement continuous integration and continuous delivery (CI/CD) pipelines for cloud applications; Monitor system health and performance using modern cloud observability and logging tools. The course begins with essential cloud architecture definitions and database types before moving into big data processing engines and automated deployment workflows. Through clear written explanations and practical configuration examples, you will learn how to architect end-to-end cloud solutions. This course is designed for aspiring cloud architects, developers, and system administrators who are new to GCP and want to build a solid foundation without needing prior cloud design experience. Start reading today to build your cloud architecture skills.