Big Data Architecture and Application
48 hours face to face + blended
One Semester or equivalent
Hawthorn, Online
Overview
This unit introduces students to the architectures of contemporary Big Data platforms and ecosystems of tools. These technologies are the foundation of Big Data analytics which facilitate scalable management and processing of vast quantities of data. The unit is delivered in collaboration with industry and prepares students with the essential foundations towards undertaking professional certifications.
Requisites
Prerequisites
COS10022
Data Science PrinciplesAND EITHER
COS20007 Object Oriented Programming
OR
COS30016 Programming in Java *
Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Semester 2
Location
Hawthorn
Start and end dates
29-July-2024
27-October-2024
27-October-2024
Last self-enrolment date
11-August-2024
Census date
31-August-2024
Last withdraw without fail date
13-September-2024
Results released date
03-December-2024
Teaching Period 3
Location
Online
Start and end dates
04-November-2024
09-February-2025
09-February-2025
Last self-enrolment date
17-November-2024
Census date
29-November-2024
Last withdraw without fail date
27-December-2024
Results released date
04-March-2025
Semester 2
Location
Hawthorn
Start and end dates
04-August-2025
02-November-2025
02-November-2025
Last self-enrolment date
17-August-2025
Census date
31-August-2025
Last withdraw without fail date
19-September-2025
Results released date
09-December-2025
Learning outcomes
Students who successfully complete this unit will be able to:
- Explain and compare the architecture of contemporary Big Data tools and platforms
- Demonstrate skills in working with a contemporary Big Data platform to manage large data sets
- Apply Big Data related technologies in developing applications to solve common problems faced by organisations
Teaching methods
Hawthorn
Type | Hours per week | Number of weeks | Total (number of hours) |
---|---|---|---|
Face to Face Contact (Phasing out) Lecture | 2.00 | 12 weeks | 24 |
On-campus Class | 2.00 | 12 weeks | 24 |
Unspecified Learning Activities (Phasing out) Independent Learning | 8.00 | 12 weeks | 96 |
TOTAL | 144 |
Swinburne Online
Type | Hours per week | Number of weeks | Total (number of hours) |
---|---|---|---|
Online Directed Online Learning and Independent Learning | 12.50 | 12 weeks | 150 |
TOTAL | 150 |
Assessment
Type | Task | Weighting | ULO's |
---|---|---|---|
Portfolio | Individual | 100% | 1,2,3 |
Content
- Introduction to Big Data platforms and their ecosystems
- Big Data platforms programming
- Partitioners and Reducers
- Big Data acquisition and workflows
- The Data Analytics Lifecycle
- Analysis and Management of structured and unstructured Big Data
Study resources
Reading materials
A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.