Module 4 Recap: ETL/ELT & Dimensional Modeling

Consolidate the four lessons of Module 4 through a practical overview of ETL vs ELT, Bronze–Silver–Gold architecture, PostgreSQL star schemas, fact_sales and dimensions, incremental processing, UPSERT, SCD Type 1 and Type 2, and data reconciliation. Review how to build reliable, testable and analytics-ready data pipelines using HMN Commerce examples. Prepare for the Module 4 checkpoint and the transition to orchestration, scheduling and recovery. 🎓 *Continue learning with HyperMind Network* *Data Engineering — Intermediate* https://app.hypermind.network/student... Explore the complete 7-module course covering Python and SQL, data ingestion, PostgreSQL, ETL/ELT, orchestration, data quality, testing, governance and a practical end-to-end data engineering capstone. Build reliable data pipelines through hands-on lessons, practical exercises and checkpoint quizzes. Complete the final assessment to demonstrate your skills and earn your course certificate.