Data Modeling and Datastore Design
Data Modeling and Datastore Design
COM SCI X 450.51
Learn advanced data modeling and design scalable, cost-effective architectures for analytics and AI systems using relational, NoSQL, time-series, and vector databases through hands-on projects and assignments.
Duration
As few as 11 weeks
Units
4.0
Current Formats
Online
Cost
Starting at $1,095.00
Get More Info
What You Can Learn.
What You Can Learn.
Gain expertise in relational, dimensional, NoSQL, time-series, and vector database design.
Learn to build cost-effective data systems that align with business objectives and support modern analytics and AI applications.
Develop the ability to combine and optimize different database models into cohesive, actionable data solutions.
Strengthen skills by completing hands-on assignments and presenting comprehensive data architecture solutions.
About This Course
This course explores advanced data modeling and datastore design for modern analytics and AI-driven systems. You will learn relational, dimensional, NoSQL, time-series, and vector database modeling concepts. Emphasis is placed on designing scalable, cost-effective architectures that translate business needs into actionable data systems. Through hands-on assignments and projects, you will develop and present complete data architecture solutions that integrate multiple datastore types.
Prerequisites
Winter 2026 Schedule
Date
Details
Format
-
This section has no set meeting times.
Online
Notes
Enrollment limited; early enrollment advised. Enrollment deadline: January 11th, 2026.
Deadline
Refunds only available from November 03, 2025 to January 18, 2026