CMSC642

Big Data Systems

Reviews for this courseTestudo

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.

Past Semesters

Alan Sussman

0 reviews
Average rating: N/A

Prem Saggar

0 reviews
Average rating: N/A

During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.55 between 23 students*

CMSC642 Grade Distribution+-0510152025303540455055606570% of studentsABCDFWother
A-: 4.35%
A: 4.35%
A+: 60.87%
B: 8.7%
B+: 8.7%
C-: 4.35%
F: 4.35%
other: 4.35%
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.