Page 94 - DCAP603_DATAWARE_HOUSING_AND_DATAMINING

Data Warehousing and Data Mining Gurwinder Kaur, Lovely Professional University

notes unit 5: Data Warehouse research – issues and research

contents
Objectives
Introduction
5.1 Data Extraction

5.2 Data Reconciliation
5.2.1 Model
5.2.2 Modelling Aspects
5.3 Data Aggregation and Customization
5.4 Query Optimization

5.5 Update Propagation
5.6 Modelling and Measuring Data Warehouse Quality
5.6.1 Quality Definition
5.6.2 Data Quality Research

5.6.3 Data Quality
5.7 Major Research Project in Data Warehousing
5.8 Three Perspectives of Data Warehouse Metadata
5.9 Summary
5.10 Keywords

5.11 Self Assessment
5.12 Review Questions
5.13 Further Readings

objectives

After studying this unit, you will be able to:

l z Describe data extraction and reconciliation
l z Know data aggregation and customization
l z Explain query optimization
l z Know modelling and measuring data warehouse quality
l z Explain three perspectives of data warehouse metadata

88 LoveLy professionaL university