Overview

This unit is designed to deliver a variety of technologies and techniques used in managing different types of data in the big data age. Database technologies including data modelling and database design at the conceptual level, logical level and physical level, query language and processing, and transaction management will be introduced. Two types of database systems – SQL and NoSQL will be presented and their differences will be discussed.

Requisites

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
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
Semester 1
Location
Hawthorn
Start and end dates
03-March-2025
01-June-2025
Last self-enrolment date
16-March-2025
Census date
31-March-2025
Last withdraw without fail date
24-April-2025
Results released date
08-July-2025
Semester 2
Location
Hawthorn
Start and end dates
04-August-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 features of big data and the roles of different types of data
  • Critically review the concepts and principles of databases and database management systems including relational data model for handling structured data
  • Use SQL to create, query and manipulate databases
  • Design databases using ER modelling techniques and functional dependencies using normalization
  • Select technologies for data storage and physical database design, query processing and transaction management
  • Use XML and JSON to design, query and manipulate semi-structured data and explain unstructured/text data processing and information retrieval techniques
  • Evaluate different types of NoSQL databases, their differences from SQL databases and big data technologies on MapReduce and Hadoop

Teaching methods

Hawthorn

Type Hours per week Number of weeks Total (number of hours)
Live Online
Lecture		 2.00  12 weeks  24
On-campus
Class		 1.00  12 weeks  12
Specified Activities
Various		 2.00  12 weeks  24
Unspecified Activities
Independent Learning		 7.50  12 weeks  90
TOTAL     150

Sydney

Type Hours per week Number of weeks Total (number of hours)
On-campus
Lecture		 2.00  12 weeks  24
On-campus
Class		 1.00  12 weeks  12
Specified Activities
Various		 2.00  12 weeks  24
Unspecified Activities
Independent Learning		 7.50  12 weeks  90
TOTAL     150

Assessment

Type Task Weighting ULO's
Assignment 1 Group 10 - 15%  3,4 
Assignment 2 Group  10 - 15%  6,7 
Online Quiz Individual  40 - 50%  1,2,3,4,5,6,7 
Tutorial Exercises Individual  10 - 20%  1,2,3,4,5,6,7 

Content

  • 3Vs features of Big data and different types of data: structured, semi-structured and unstructured data
  • Introduction to all database concepts
  • Relational data model
  • Entity Relationship (ER) models for database design
  • SQL and SQL Programming Techniques
  • Functional dependencies and normalization for relational databases
  • Physical database design and query processing
  • Transaction management - concurrency control and recovery
  • XML related technologies and JSON
  • Different types of NoSQL databases and their differences from SQL databases
  • Big data technologies on MapReduce and Hadoop
  • Unstructured/text data processing and information retrieval

Study resources

Reading materials

A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.