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Data Warehousing – CG124Data Warehousing – CG124Data Warehousing – CG124Data Warehousing – CG124

Dr. Akhtar Ali

School of Computing, Engineering and Information Sciences

Computing.unn.ac.uk/staff/CGMA2/CG124

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Module AimsModule AimsModule AimsModule Aims

The module aims to help students: Understand the fundamentals of a data warehousing

environment. Learn the mechanisms for designing, constructing, and

populating data warehouses. Analyse different approaches to data warehouse

maintenance. Explore the real world applications of data warehousing

using OLAP technologies. Gain practical skills in implementing a data warehouse

using Oracle.

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Learning OutcomesLearning OutcomesLearning OutcomesLearning Outcomes

On completion, the student should be able to:

Design, construct, and populate a data warehouse; Devise efficient and cost effective methods for maintaining

data warehouses; and Implement a data warehouse using Oracle.

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Main TopicsMain TopicsMain TopicsMain Topics

Introduction to Data Warehousing Data Warehouse Components Data Warehouse Maintenance Data Warehouse Design Oracle Data Warehousing Support On-Line Analytical Processing (OLAP)

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Prerequisite Knowledge & SkillsPrerequisite Knowledge & SkillsPrerequisite Knowledge & SkillsPrerequisite Knowledge & Skills

Prior knowledge of Relational Databases – Relational databases’ theory, For Example:

» Relations

» Keys

» Constraints

» Relational algebra

» SQL (structured query language)

OR previously attended module CM036 (Advanced databases)

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AssessmentAssessmentAssessmentAssessment

Individual Assignment – Worth 40%

– Given out in week 7

– Due in week 12

Open Book Exam– Worth 60%

– 2 hours duration

– In week 13 to 15 (May/June)

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Books and Learning ResourcesBooks and Learning ResourcesBooks and Learning ResourcesBooks and Learning Resources

Text Book– Ralph Kimball (Editor), Laura Reeves, Margy Ross, Warren

Thornwaite. The Data Warehouse Lifecycle Toolkit: Tools and Techniques for Designing, Developing and Deploying Data Marts and Data Warehouse. John Wiley, 1998.

Supplementary Material– Surajit Chaudhuri, Umeshwar Dayal. An Overview of Data

Warehousing and OLAP Technology. ACM Sigmod Record, March 1997.

– Jennifer Widom. Research Problems in Data Warehousing. International Conference on Information and Knowledge Management 1995.

– M. Akhtar Ali, Alvaro A. A. Fernandes and Norman W. Paton. MOVIE: An Incremental Maintenance System for Materialized Object Views. Data and Knowledge Engineering (DKE) Vol. 47, Issue 2, November 2003, Pages 131-166.

Online Resources– Blackboard (all the lecture notes, seminar handouts) and my homepage– Oracle Documentation (Oracle 9i Data Warehousing Guide)