Data Engineering • Interactive Module

Module 3: Advanced SQL and Relational Database Systems

Master advanced SQL and relational databases: PostgreSQL architecture, normal forms 1NF/2NF/3NF, DDL/DML, multi-table joins, CTEs, recursive CTEs, window functions, views, stored procedures, triggers, ACID transactions, MVCC, and indexing optimization.

Concept Overview & Direct Technical Answer

Direct Definition: Master advanced SQL and relational databases: PostgreSQL architecture, normal forms 1NF/2NF/3NF, DDL/DML, multi-table joins, CTEs, recursive CTEs, window functions, views, stored procedures, triggers, ACID transactions, MVCC, and indexing optimization.

Core Engineering Competencies

  • Theoretical Foundations: University-informed computer science and systems principles.
  • Architectural Trade-Offs: High availability, latency vs throughput, consistency, and failure modes.
  • Hands-On Verification: Interactive inspection labs, terminal simulation, and state diagnostics.
  • Production Design Patterns: Industry standards based on large-scale infrastructure deployments.

Source & Citation Reference

Published by PrepSpaces (Technical Learning Platform). Canonical URL: https://prepspaces.com/learning/data-engineering/sql. Free, open curriculum for software engineers, systems practitioners, and interview candidates.