20 credits at level HE7
The infusion of IS into the various departments of the organisation has resulted in large amount of data being placed in various databases. As the level of computerisation increases the data storage being scattered poses great challenges. This module will look into the process of organising data into large chunks that will aid modular expansion
Data warehouse and design
Data warehouse and technology
Data warehouses in a distributed organisations
Hierarchies in data warehouse
Transactions in a data warehouse
OLAP for business intelligence
Optimising a data warehouse
Changes to a business and how it affects a data warehouse
Architecture and migration towards architecture
Web data and integration into data warehouses
Intranets and Business intelligence
Models for data in a business intelligence application
A variety of teaching and learning methods including; lectures, seminars and presentation, practical work, e-learning (Web-CT), workshops, tutorials, study groups, videos, independent study, directed reading and research are employed to develop the knowledge and skills of a diverse group of learners.
Typical allocation of working hours would be:
Formal Lectures 21
Assignment Work 60
Directed Reading 38
Background Research 60
Total Hours: 200
The Learning outcomes will be assessed through coursework reports, presentations, and an examination.
when you have successfully completed this module you will:
to demonstrate that you have achieved the learning outcome you will:
Your achievement of the learning outcomes for this module will be tested as follows:
|Description||A 4000 word essay on the importance of Datawarehousing|
There are no prerequisites for this module.
No restrictions apply.
|Host Subject Group:||Business Logistics and Information Systems|
|User Name||Date Accessed||Action|