IS 497 DAO - Topics in Data Analyt&Data Sci - Database Admin & Scaling

Description:

Variety of newly developed and topics courses within Data Analytics & Data Science, intended to augment the existing Information Sciences curricula. Course Information: Additional fees may apply. See Class Schedule. 2 to 4 undergraduate hours. 2 to 4 graduate hours. May be repeated if topics vary.

Special Instructions:

Requires Instructor approval, Email John Weible at jweible@illinois.edu. Database Administration & Scaling for IS. Prerequisite: IS 455 - Database Design & Prototyping, or IS 206 Database Concepts & Application. Involves database administration (DBA) broadly relevant to computational information science work-Involves database administration (DBA) broadly relevant to computational information science work. Explores several types of scalable database engines, using popular NOSQL and SQL products. Develops practical skills for managing reliable DBMS for production systems or to create analytically-focused NOSQL derivatives. Small student teams will experiment and present findings to the class, with student-directed inquiry encouraged. Readings, discussions, and situational problems drawn from real scenarios will involve managerial, ethical, and other aspects of the human side of professional DBA work. Some intro to virtual machines and cloud systems administration is included.

Option 1

Number of Required Visit(s): 0

Course Level: Graduate

Credit: 4

Term(s): Fall , Spring