Data Analytics at Scale (DATA7201)
Information valid for Semester 1, 2019
Course level
Postgraduate Coursework
Faculty
Engineering, Architecture & Information Technology
School
Info Tech & Elec Engineering
Units
2
Duration
One Semester
Delivery mode
Internal
Class hours
2 Lecture hours
2 Practical or Laboratory hours
Incompatible
INFS3208 or INFS7208
Prerequisite
DATA7001 and INFS7907
Restricted
Restricted to MDataSc students only.
Assessment methods
Assignments, projects and exams.
Course enquiries
Current course offerings
Course offerings | Location | Mode | Course Profile |
Semester 1, 2025 (24/02/2025 - 21/06/2025) | St Lucia | In Person | Course Profile |
Please Note: Course profiles marked as not available may still be in development.
Course description
Data Science techniques often need to be applied to large amounts of data to generate insights. To deal with volume, velocity, and variety of data we need to rely on novel computational architectures that focus on scaling-out data processing as compared to the classic scale-up approach. Such systems allow to add computational resources to a distributed system depending on requirements and load which changes over time. In this course we will give students knowledge about modern scale-out system architectures to perform data analytics queries over very large structured/unstructured datasets as well as to run data mining algorithms at scale.