Big Data Management - 2017

Unit summary

INF20016

  • Level of Study: Undergraduate Level 2
  • Study load: 0.125 EFTSL
  • Delivery method: Fully Online
  • Prerequisites: Yes
  • Duration: 13 weeks
  • Government loans available: FEE-HELP, HECS-HELP
  • Availability for 2017: SP1
  • Assessment: Portfolio - Individual/Group (100%)

Unit provided by

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2017 Fees
AUD$
Domestic 2,925.00
Domestic continuing 1,180.00
HECS 1,131.00
International 3,175.00
International continuing 1,430.00

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This unit covers the management perspective of contemporary data management (particularly big data) issues in an organisational/ business context. Students will be introduced to issues that arise when data is gathered from multiple sources in various formats for many diverse purposes, as well as the relevant managerial, organisational, governance, IT strategy issues. Students will explore why key aspects of a contemporary data management such as Master Data Management, Cloud storage, Social Media data, Data Warehouses, non-relational databases, Infrastructure as a Service, Platform as a Service and Software as a Service should not be regarded as exclusively techno-centric concepts but also as a business/management consideration.

After successfully completing this unit, you will be able to:

  1. Demonstrate an understanding of the complexity pertaining data, big data and data lifecycle, which may include data quality, data governance, acquisition & procurement, legal, ethical, risk and security issue
  2. Analyse and evaluate appropriate data management solutions for specific business needs and requirements
  3. Demonstrate an understanding of big data management as an enabler of business agility and innovation
  4. Demonstrate critical thinking, problem solving, and ability to communicate effectively as a professional and function as an effective leader or member of a diverse team.
  • Portfolio — Individual/Group (100%)

Mandatory prerequisites

You must have successfully completed the following unit(s) before starting this unit:

If you have completed equivalent study at another university, please contact a Student Advisor for advice.

This unit addresses the following topics.

NumberTopic
1Contemporary issues in Data management
2Big Data, structured (records) vs unstructured (free-text) (may use open data, web crawler/scraping, SM feeds), Data Warehouse, Data Mart
3DB Storage, Cloud Storage, Master Data Management etc.
4Enterprise data life cycle, data governance
5Infrastructure and Architecture
6Data quality, relevance, data relationships (and/or relationships between datasets), value of data
7Cloud-based Data/Database service providers & models (i.e., IaaS)
8Sourcing & acquisitions of services, SLAs
9"Other issues": legal, ethical, security

Each unit offered through OUA provides students with unit information that includes assessment topics and due dates, policy information and contact numbers for university support and academic staff. Study materials will also clearly outline each week's topic, readings, student activities and the format of all assessment.

This unit is a core requirement in the following courses:

This unit may be eligible for credit towards other courses:

  1. Many undergraduate courses on offer through OUA include 'open elective' where any OUA unit can be credited to the course. You need to check the Award Requirements on the course page for the number of allowed open electives and any level limitations.
  2. In other cases, the content of this unit might be relevant to a course on offer through OUA or elsewhere. In order to receive credit for this unit in the course you will need to supply the provider institution with a copy of the Unit Profile in the approved format, which you can download here. Note that the Unit Profile is set at the start of the year, and if textbooks change this may not match the Co-Op textbook list.
This unit does not have a prescribed textbook(s).

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