FIT3182 Big data management and processing
Faculty of Information Technology
FIT3182 Big data management and processing is a level 3, 6-credit-point, undergraduate unit from the Faculty of Information Technology. It isn't offered in 2020. It needs FIT2004 and (FIT2094 or FIT3171).
- Credit points
- 6
- Offered in 2020
- Not offered
- Workload
- 144 hours
- per semester
This is the 2020 handbook entry. See the 2027 entry.
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Requisites
Before FIT3182
Prerequisites
Pass these before you enrol.
After FIT3182
No unit lists FIT3182 as a prerequisite in the 2020 handbook.
Enrolment rules
Students should have an understanding of database concepts and SQL and Python programming background.
Overview
Data engineering is about developing the software (and hardware) infrastructure to support data science. This unit introduces software tools and techniques for data engineering, but not hardware. It will cover an introduction to big data processing, covering volume, variety, and velocity; large volume data processing using parallel technologies; variety data formats, including unstructured and semi-structured data, using NoSQL databases; and velocity data processing, covering data streaming.
Offerings in 2020
The 2020 handbook lists no offerings for FIT3182.
Learning outcomes
When you finish this unit, you should be able to:
- 1
identify big data concepts and technologies;
- 2
write and interpret parallel database processing algorithms and methods;
- 3
use big data processing frameworks and technologies;
- 4
describe and compare NoSQL technologies;
- 5
use big data streaming technologies.
Workload and teaching
Minimum total expected workload equals 144 hours per semester comprising:
- Contact hours for on-campus students:
- Two hours/week lectures
- Two hours/week laboratories
- Additional requirements (all students):
- A minimum of 8 hours per week of personal study for completing laboratory activities, assignments, private study and revision.
Where it fits
FIT3182 is part of 2 areas of study in the 2020 handbook.
Contacts
- Chief Examiners
- Associate Professor David Taniar
Common questions
What are the prerequisites for FIT3182?
You need FIT2004 and (FIT2094 or FIT3171) before you enrol. Enrolment rules also apply.
When is FIT3182 offered?
FIT3182 has no offerings listed in the 2020 handbook.
How much work is FIT3182?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Which majors and minors include FIT3182?
FIT3182 is part of Advanced computer science and Data science.