Advanced SQL for Data Engineering

As data volumes grow, basic database queries are no longer enough to build efficient, scalable systems. Transitioning from simple data retrieval to production-grade data engineering requires a deep understanding of how databases execute, optimize, and secure complex operations. In this written course, you will elevate your database skills to a professional standard. You will learn to write highly performant queries, model data for analytical warehouses, and apply modern engineering practices to your SQL workflows. What you'll learn: Learn foundational data warehouse architectures and key database design principles; Master complex analytical queries using window functions, common table expressions, and recursive queries; Optimize query execution plans to dramatically reduce processing time and resource usage; Implement robust data security, access control, and schema management practices; Understand modern integration patterns, including working with dbt and analytical engines like DuckDB. Starting with essential database definitions and execution concepts, this course guides you step-by-step through advanced querying techniques, indexing strategies, and pipeline design patterns. You will read clear explanations, analyze realistic code examples, and practice your skills with written optimization scenarios. This course is designed for aspiring data engineers, analysts, and developers who have a basic familiarity with SQL and want to build production-grade database systems. No advanced engineering background is required. Start reading today to transform your SQL queries into powerful, production-ready data pipelines.