DATA 605
Big Data Systems
An overview of data management systems for performing data science on large volumes of data, including relational databases, and NoSQL systems. The topics covered include: different types of data management systems, their pros and cons, how and when to use those systems, and best practices for data modeling.
Topics
- different types of data management systems
- their pros and cons
- how and when to use those systems
- and best practices for data modeling
Topics explicitly listed in official catalogue description
Prerequisites & course information
Restriction: Must be in the Data Science Post-Baccalaureate Certificate or Master of Science in Data Science program. Credit Only Granted for: DATA605 or CMSC642 . Formerly: CMSC642 .
Sources
- Course catalogue ↗2026-2027