Cloud Data Engineering Fundamentals: Building Modern Data Pipelines

Every modern business relies on clean, accessible data to make critical decisions, yet building the systems to deliver this data remains a major challenge. Understanding how to leverage cloud services to ingest, transform, and store data is the first step toward becoming a successful data professional. This text-only course guides you from absolute beginner to confidently designing foundational data architectures. You will learn how to transition from raw data sources to structured, query-ready data assets using industry-standard cloud technologies. What you'll learn: - Understand core data engineering roles, responsibilities, and foundational terminology - Explore cloud storage options and select the right database models for your workloads - Design batch and streaming data pipelines using services like Dataflow and Pub/Sub - Query and analyze massive datasets efficiently using BigQuery - Apply modern lakehouse architecture concepts to unify data warehousing and data lakes - Implement pipeline orchestration basics to automate and monitor your data workflows You will start with essential definitions and data lifecycle concepts before moving on to architectural scenarios. Through written explanations and structured design exercises, you will learn to construct robust data pipelines from ingestion to analytics. This course is designed specifically for beginners, aspiring data engineers, and IT professionals looking to transition into cloud-based data roles, with no prior cloud or data engineering experience required. Begin your journey into cloud data engineering today.