Subject description

The subject addresses the problems of managing and processing of extremely large data sets in a single-server centralized computing systems and in multi-server clustered and distributed computing systems. The topics related to processing of large data sets in centralized environments include the techniques based on the classical data warehouse technologies … For more content click the Read More button below.

Enrolment rules

Other

Pre-Requisite

Equivalence

ISIT312 - Big Data Management

Delivery

To view information specific to your campus, click on Select availability in the top right of screen and choose from the campus, delivery mode and session options.

Teaching staff

Subject coordinators

Engagement hours

Contact Hours:2 hr lecture & 2 hr computer lab per week

Learning outcomes

On successful completion of this subject, students will be able to:
1.
Demonstrate an understanding of a concept of Big Data, issues related to design management, processing, and infrastructure requirements for implementation of Big Data systems and technologies required for processing of very large data sets.
2.
Demonstrate an understanding of scope and functionality of data warehousing systems and use business intelligence software for implementation of data warehousing systems.
3.
Demonstrate an understanding of the principles of online analytical data processing (OLAP) and the applications of OLAP techniques in implementation of data warehousing systems.
4.
Design and implement data warehousing systems.
5.
Demonstrate an understanding of differences between centralized data warehousing systems and processing of large data sets on clustered and distributed computing systems.
6.
Design and implement real time data analytical applications on clustered and distributed computing systems.
7.
Demonstrate an understanding of other technologies available for implementation data analytical applications including those targeting large unstructured data. Evaluate the suitability of the various technologies to a given commercial setting.

Assessment details

Assigment

Final Exam

Work integrated learning

Applied WIL:This subject has "Applied WIL". Students in this subject will experience both coursework and a work-related opportunity that typically includes interaction and feedback with industry.

Textbook information

No prescribed textbooks for this subject.

Contact details

Faculty contact

Handbook directory