A study of data management practices in the context of large-scale enterprise information systems, from both an administrative and a technical perspective.
This paper is in the process of being suspended from the curriculum.
|Paper title||Enterprise Data Management|
|Teaching period||Not offered in 2017|
|Domestic Tuition Fees (NZD)||$1,018.05|
|International Tuition Fees (NZD)||$4,320.00|
- INFO 211 and (INFO 212 or INFO 214)
- Schedule C
- Arts and Music, Commerce, Science
- More information link
- View more information about INFO 321
- Teaching staff
- Co-ordinator: Dr Nigel Stanger
Laboratory Co-ordinator: Mr Chris Edwards
- Paper Structure
- The paper focuses on four main topic areas:
- Database programming
- Database administration
- Data warehouses
- Managing "big data" (NoSQL, NewSQL, etc.)
- Teaching Arrangements
- Three 1-hour "lectorial" (part lecture, part tutorial) classes per week
One 2-hour computer laboratory class per week
- Text books are not required for this paper.
- Course outline
- View the course outline for INFO 321
- Graduate Attributes Emphasised
- Global perspective,lifelong learning, scholarship, communication, critical thinking,
information literacy, teamwork.
view more information about otago's graduate attributes.
- Learning Outcomes
- Design and implement a server-side application programming interface(API) for a database
- Analyse the performance of a database system to identify potential problem areas and then choose, implement and test appropriate database tuning solutions
- Identify and explain the roles and responsibilities of a database administrator
- Identify potential database hazards and suggest ways to avoid or reduce the impact of these hazards and recover from them
- Create a simple data warehouse and perform analytic queries on it
- Identify and explain the differences between "traditional" database management systems and more recent NoSQL and NewSQL DBMSs and when each should be used