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[an error occurred while processing this directive]Managerial decision-makers often require information held in various organisational information systems to make improved strategic decisions. A data warehouse is designed to provide high quality data from a number of sources both inside and outside the organisation and is an example of a large-scale decision system. This unit presents students with coverage of several important aspects of data warehousing. These include the purpose of a data warehouse, data warehouse design, data warehouse architecture, data sourcing, implementing the data warehouse, organisational issues involved with designing and implementing a data warehouse, data warehouse governance and case studies.
2 hrs lectures/wk, 2 hr laboratory/wk
You are expected to spend 12 hours per week on various activities including reading, communication with other students and unit lecturers, and preparation for learning tasks and formal assessments.
IMS5026
Rob Meredith
Week | Activities | Assessment |
---|---|---|
0 | No formal assessment or activities are undertaken in week 0 | |
1 | Introduction to the unit and Data Warehouse concepts | |
2 | Data Warehousing as a process | |
3 | Data Warehouse Design 1 - Dimensional Modelling | |
4 | Data Warehouse Design 2 - Dimensional Modelling continued | |
5 | Physical Design | |
6 | Data Warehousing Architectures | Assignment 1 due |
7 | Methodologies and Data Mining | |
8 | Organisational Issues and Cases | |
9 | Data quality and metadata management | |
10 | Data Warehouse technology decisions | |
11 | Data Warehouse Governance | Assignment 2 due |
12 | Review and Conclusion | |
SWOT VAC | No formal assessment is undertaken in SWOT VAC | |
Examination period | LINK to Assessment Policy: http://policy.monash.edu.au/policy-bank/ academic/education/assessment/ assessment-in-coursework-policy.html |
*Unit Schedule details will be maintained and communicated to you via your learning system.
Examination (2 hours): 50%; In-semester assessment: 50%
Assessment Task | Value | Due Date |
---|---|---|
Assignment 1 - Data Warehouse Design | 20% | Week 6 |
Assignment 2 - Research Essay | 30% | Week 11 |
Examination 1 | 50% | To be advised |
Faculty Policy - Unit Assessment Hurdles (http://www.infotech.monash.edu.au/resources/staff/edgov/policies/assessment-examinations/unit-assessment-hurdles.html)
Academic Integrity - Please see the Demystifying Citing and Referencing tutorial at http://lib.monash.edu/tutorials/citing/
Assignment 1 will be assessed according to the following criteria:
Assignment 2 will be assessed according to the following criteria:
Monash Library Unit Reading List
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Submission must be made by the due date otherwise penalties will be enforced.
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Assignments may not be resubmitted.
Students should use the APA 5th referencing style for their assignments. See http://guides.lib.monash.edu/content.php?pid=88267&sid=656564 for the Library Guides for Citing and Referencing.
Note that the Library provides a free copy of the citation software EndNote, which will automatically format your bibliography for you in the correct style. See http://guides.lib.monash.edu/endnote
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If Electronic Submission has been approved for your unit, please submit your work via the learning site for this unit, which you can access via links in the my.monash portal.
Please check with your lecturer before purchasing any Required Resources. Limited copies of prescribed texts are available for you to borrow in the library, and prescribed software is available in student labs.
While no software is necessarily required, we will be making use of Microsoft SQL Server and Pentaho in the laboratories.
You will also find that a copy of Microsoft Office and Microsoft Visio will be of use during assignments.
All of this software is installed by default in the student laboratories, but copies can be borrowed and installed on your personal computer through the Faculty of IT's website (http://www.infotech.monash.edu.au).
Kimball, R., Reeves, L., Ross, M., & Thornthwaite, W.. (1998 or later). The Data Warehousing Lifecycle Toolkit. (Any) John Wiley & Sons.
Kimball, R., & Ross, M.. (2002). The Data Warehouse Toolkit: The Complete Guide to Dimensional Modelling. () John Wiley & Sons.
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Based on student feedback laboratory sessions have been extended from one hour to two each week, and the exercises and topics covered have been revised. A laboratory class dealing with ETL tools has been added.
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