Unless otherwise indicated, a grade of C or higher is required for all prerequisite
Introduction to non-relational (NoSQL) data models, such as Key-Value, Document, Column,
Graph and Object-Oriented database models. Advantages and disadvantages of the different
data architecture patterns will be discussed. Hands-on experience with a representative
sample of open-source NoSQL databases will be provided. The rapid and efficient processing
of data sets with a focus on performance, reliability, and agility will be covered.
Big Data, distributed and cloud computing concepts will be introduced. Intended for
students with previous programming experience.
Grade Option (Letter Grade or Pass/No Pass)
Lecture hours/semester: 48-54
Homework hours/semester: 96-108
Recommended: CIS 254, completion of or concurrent enrollment in CIS 132.