Koosha Totonchi
Principal Data Engineer
Data Modeling with AWS
Master the fundamentals of data modeling across relational, document, and graph databases. Learn how databases store, query, and enforce structure, and understand the design considerations for OLTP vs. OLAP workloads. Design normalized schemas in PostgreSQL to prevent CRUD anomalies, then model flexible document collections in MongoDB using embedding and referencing strategies. Build graph models in Neo4j with Cypher to represent and traverse connected data. Compare ACID guarantees across all three paradigms, explore managed cloud services on AWS, and apply your skills by designing a complete multi-database backend for a growing e-commerce company.
- Course
- Intermediate
- 18 hours
- Updated: Apr 30, 2026
Subscription · Monthly
- Cancel Anytime
- Unlimited access to hundreds of top-rated courses
- Hands-on projects with expert feedback
- Personalized career coaching and interview prep
- Program Certificates
Skills you'll learn
8 skills
- PostgreSQL
- Database normalization
- Denormalized data schemas
- Data modeling basics
- Online transactional processing models
Prerequisites
2 prerequisites
Prior to enrolling, you should have the following knowledge:
You will also need to be able to communicate fluently and professionally in written and spoken English.
Course Outline
- 5 lessons
- 1 project
Program Instructors
1 instructor
Unlike typical professors, our instructors come from Fortune 500 and Global 2000 companies and have demonstrated leadership and expertise in their professions:
Koosha Totonchi
Principal Data Engineer
Subscription · Monthly
- Cancel Anytime
- Unlimited access to hundreds of top-rated courses
- Hands-on projects with expert feedback
- Personalized career coaching and interview prep
- Program Certificates