Most database schemas start simple, but as data grows and queries become complex, performance bottlenecks emerge.
What separates skilled data engineers from the rest is the ability to architect schemas that scale. This Short Course was created to help data engineers and database professionals accomplish advanced schema design and optimization that directly impacts query performance and system scalability. By completing this course, you'll be able to implement DDL partitioning and clustering strategies, make informed decisions about when to denormalize for performance gains, and create professional ER diagrams that communicate complex data relationships. These are the exact skills you'll use to optimize slow-running queries and design schemas that handle enterprise-scale workloads. By the end of this course, you will be able to: - Apply partitioning and clustering strategies using SQL Data Definition Language (DDL) - Analyze the trade-off between database normalization and query performance to propose schema refactoring - Create Entity-Relationship diagrams to model and document data structures This course is unique because it combines hands-on DDL implementation with strategic schema design decisions that directly address real-world performance challenges. To be successful in this project, you should have a solid foundation in SQL querying, basic database design principles, and experience working with relational databases.
