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Intermediate
Data Science & Analytics
en
Data Modeling with AWS
Udacity
Platform
· California, USA
About this course
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.
Prerequisite Skills
Skills you should have before taking this course
Python
SQL
Relational database basics
Skills Gained
Skills you will develop by completing this course
MongoDB
PostgreSQL
Database normalization
Denormalized data schemas
Data modeling basics
Data definition language (DDL)
Neo4j
Graph data modeling