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

2021 teaching periods


Higher Ed. Semester 1 Higher Ed. Semester 2

1 Mar 21 - 30 May 21

6 Jul 21

Last self enrolment:
14 Mar 21

31 Mar 21

Last withdraw without fail:
16 Apr 21

2 Aug 21 - 31 Oct 21

7 Dec 21

Last self enrolment:
15 Aug 21

31 Aug 21

Last withdraw without fail:
17 Sep 21

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
On successful completion of this unit students will be able to:
#Unit Learning Outcome Description
ULO1Explain features of big data and the roles of different types of data
ULO2Critically review the concepts and principles of databases and database management systems including relational data model for handling structured data
ULO3Use SQL to create, query and manipulate databases
ULO4Design databases using ER modelling techniques and functional dependencies using normalization
ULO5Select technologies for data storage and physical database design, query processing and transaction management
ULO6Use XML and JSON to design, query and manipulate semi-structured data and explain unstructured/text data processing and information retrieval techniques
ULO7Evaluate different types of NoSQL databases, their differences from SQL databases and big data technologies on MapReduce and Hadoop