Database Engineering with PostgreSQL
Relational databases form the bedrock of modern applications. PostgreSQL is widely considered the world's most advanced open-source relational database. In this course, you will transition from writing simple queries to architecting highly optimized, secure, and resilient relational database systems. You will learn the mathematics and theory behind schema design, normal forms, and index structures. You will master advanced SQL techniques, including multi-table JOINs, Common Table Expressions (CTEs), and window functions. Finally, you will dive into production database administration, covering query execution plans, transaction isolation levels, backup recovery strategies, and security configuration.
Architecture Intensive
Curriculum Outcomes
Design highly normalized, production-grade schemas utilizing constraints, primary keys, and foreign keys
Write complex analytical queries using window functions, CTEs, and advanced joins
Analyze and optimize query performance using the EXPLAIN execution plan and custom indexing strategies
Understand ACID properties and design transaction blocks with appropriate isolation levels
Implement robust database administration policies, including secure backups, restore, and user permissions
Modules
Step-by-step masteryDatabase Fundamentals
Introduces the core concepts of relational databases, relational theory, and the SQL language. Students will install PostgreSQL, configure database clients, and master basic CRUD (Create, Read, Update, Delete) operations using data types and constraints.
Schema Design
Dives into structural database planning. Covers relational mapping, primary and foreign keys, reference integrity, and database normalization techniques up to 3NF to prevent redundancy and data anomalies.
Advanced SQL
Focuses on deep query optimization and analytics. Topics include complex INNER, LEFT, RIGHT, and FULL joins, nested subqueries, common table expressions (CTEs) for readable query structures, and powerful window functions.
Performance & Administration
Examines how database systems execute queries. Covers indexes (B-Tree, Hash), analyzing queries with EXPLAIN, transactions and ACID safety under concurrent environments, and security administration.
Capstone Project - ShopBase E-Commerce Database
A comprehensive capstone project where students architect a multi-table database from scratch, implement relationships, optimize complex report queries, apply indexing, and formulate backup and recovery scripts.