Data Management for the Big Data Age

COS60009 12.5 Credit Points Hawthorn Available to incoming Study Abroad and Exchange students


  • One Semester or equivalent

Contact hours

  • 36 hours

On-campus unit delivery combines face-to-face and digital learning.

2022 teaching periods


Higher Ed. Semester 2

1 Aug 22 - 30 Oct 22

6 Dec 22

Last self enrolment:
14 Aug 22

31 Aug 22

Last withdraw without fail:
16 Sep 22

Aims and objectives

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 conceptual level, logical level and physical level, query language and processing, transaction management will be introduced. Two types of database systems – SQL and NoSQL will be presented and their differences will be discussed.
Unit Learning Outcomes (ULO)
On successful completion of this module the learner 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
7  Evaluate different types of NoSQL databases, their differences from SQL databases and big data technologies on MapReduce and Hadoop