Big Data Management
See 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.
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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 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
50 Credit Points from a Bachelor Degree. (4 x subjects)
No special requirements
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.
Assignments Reflective Practice Journal Executive Briefing Paper
- Individual/Group (100%)