Data Warehouse Design Fundamentals
Data EngineerBeginner to Intermediate

Data Warehouse Design Fundamentals

From SQL and relational concepts through PostgreSQL, medallion architecture, star schemas, dbt, and cloud warehouses on Snowflake and BigQuery.

8 Weeks8 modules6 Modules + 2-Part Capstone
What you'll build5 outcomes
  1. 01Write solid SQL and apply relational concepts in PostgreSQL with schemas, indexes, and joins.
  2. 02Design bronze, silver, and gold layers and dimensional models including slowly changing dimensions.
  3. 03Build tested, documented analytics models in dbt with clear lineage.
  4. 04Operate cloud warehouses on Snowflake and BigQuery for real analytics workloads.
  5. 05Deliver a designed and built warehouse with end-to-end review.
Full curriculum8 items · 2 projects
01SQL Foundations & Relational Database Concepts
02PostgreSQL Deep Dive : Schemas, Indexes & Joins
03Data Warehousing & Medallion Architecture (Bronze / Silver / Gold)
04Dimensional Modeling : Star Schemas & Slowly Changing Dimensions
05Analytics Engineering with dbt : Models, Tests & Lineage
06Cloud Warehouses : Snowflake & BigQuery in Action
07Capstone Project Part 1 : Designing & Building the Warehouse
Project
08Capstone Project Part 2 : End-to-End Delivery & Review
Project
Instructor
Isuru Alagiyawanna

Isuru Alagiyawanna

Lead Instructor & Head of AI Engineering

Isuru leads Zuu Crew AI's technical direction and curriculum design. He has trained students and professionals across practical machine learning, MLOps, and AI engineering systems with a strong emphasis on shipping production-grade work.

University of MoratuwaRobert Gordon University, UKHead of AI Eng, Veracity GroupAWS ML EngineerTensorFlow Certified

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