DATA471
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Data Management for Data Scientists
Subject
DATA - Data Science
Description
Current mechanisms for data management. It investigates various types of data models for dealing with various types of data, including big data with all its V's (e.g., volume, velocity, variety, etc.). In particular, the current offering of the course covers, the conceptual model, the relational model, its standard query language SQL, and relational database design. Additionally, it covers NoSQL databases as well as ACID and BASE data management techniques, with emphasis on state-of-the-art platforms like HADOOP and SPARK.
Prerequisite(s): Data Science 221 and Computer Science 319.
Prerequisite(s): Data Science 221 and Computer Science 319.
Course Attributes
Fee Rate Group(Domestic) - A, Fee Rate Group(International) -A, GFC Hours (3-2T)
Courses may consist of a Lecture, Lab, Tutorial, and/or Seminar. Students will be required to register in each component that is required for the course as indicated in the schedule of classes. Practicums, internships or other experiential learning modalities are typically indicated as a Lab component.
Component
LEC
Component
TUT
Units
3
Repeat for Credit
No
Subject code
DATA