Data Modeling & Warehousing Fundamentals in Data Engineering
About this course
You'll learn the essential skills needed to design, build, and maintain robust data warehouses that power business intelligence and analytics. Through hands-on practice, you'll learn to create star schema data models that enable self-service reporting, apply database normalization techniques while preserving query performance, and use advanced SQL window functions for complex analytical calculations. You'll also gain expertise in configuring database replication for high availability and implementing incremental loading strategies to efficiently update large datasets. This comprehensive course integrates fundamental data engineering concepts with practical implementation skills, preparing you to build scalable data infrastructure that supports enterprise analytics. By combining data modeling theory with real-world database administration techniques, you'll develop the versatile skill set that data engineering professionals need to create reliable, performant data systems that drive business insights and decision-making across organizations.
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What you'll learn
- design and build data warehouses
- create star schema data models
- apply database normalization techniques
- utilize advanced SQL window functions
- configure database replication for high availability
- implement incremental loading strategies
Course objectives
- gain expertise in data modeling theory
- develop practical database administration skills
- prepare for roles in data engineering
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