Data Modeling, Warehouse & Documentation

О курсе

Learn how to design, document, and implement high-quality data models through this comprehensive course in the Data Engineering Skill Path. You will develop essential competencies in relational modeling, dimensional design, schema implementation, and professional data documentation practices. Through hands-on activities, you will build data dictionaries, translate business requirements into structured models, implement star and snowflake schemas using SQL DDL, and evaluate trade-offs in warehouse architecture to support analytical workloads. This course brings together expertise from multiple IBM instructional teams, offering diverse perspectives on database fundamentals, modeling techniques, warehouse design, and the use of generative AI to assist with schema development. You will progressively move from foundational relational concepts to enterprise warehouse structures, advanced normalization, and AI-supported model optimization. The curriculum balances conceptual depth with applied practice, ensuring you can confidently design scalable, high-integrity data models for real-world environments. Perfect for aspiring data engineers and analytics professionals seeking strong skills in dimensional modeling, warehouse design, and documentation that supports performance, governance, and long-term maintainability.

Навыки, которые вы освоите

Учитесь у экспертов

Professionals from the Industry

Преподаватель курса