Enrolments for 2018 have closed.
Big Data Management
Undergraduate | SWI-INF20016 | 2018
Course information for 2018 intake
View information for 2019 course intakeSee how massive amounts of data are harvested from multiple sources in various formats. Understand how big data management powers agile business and innovation. Uncover the legal, ethical and security risks of the big data lifecycle.
- Study method
- 100% online
- Assessments
- 100% online
- Entry requirements
- Prior study needed
- Duration
- -
HECS-HELP and FEE-HELP available
Big Data Management
About this subject
Students who successfully complete this subject will be able to:
- 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
- Analyse and evaluate appropriate data management solutions for specific business needs and requirements
- Demonstrate an understanding of big data management as an enabler of business agility and innovation
- 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.
- Contemporary issues in Data management
- Big Data, structured (records) vs unstructured (free-text) (may use open data, web crawler/scraping, SM feeds), Data Warehouse, Data Mart
- DB Storage, Cloud Storage, Master Data Management etc.
- Enterprise data life cycle, data governance
- Infrastructure and Architecture
- Data quality, relevance, data relationships (and/or relationships between datasets), value of data
- Cloud-based Data/Database service providers & models (i.e., IaaS)
- Sourcing & acquisitions of services, SLAs
- "Other issues": legal, ethical, security
This subject 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.
- Individual/Group (100%)
For textbook details check your university's handbook, website or learning management system (LMS).
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Entry requirements
Prior study
You must have successfully completed the following subject(s) before starting this subject:
one of
- SWI-INF10002-Database Analysis and Design
SWI-INF20004 (Not currently available)
Additional requirements
No additional requirements
Study load
- 0.125 EFTSL
- This is in the range of 10 to 12 hours of study each week.
Equivalent full time study load (EFTSL) is one way to calculate your study load. One (1.0) EFTSL is equivalent to a full-time study load for one year.
Find out more information on Commonwealth Loans to understand what this means to your eligibility for financial support.
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