Page 230 - DCAP603_DATAWARE_HOUSING_AND_DATAMINING

Data Warehousing and Data Mining Sartaj Singh, Lovely Professional University

notes unit 12: Metadata and Warehouse Quality

contents
Objectives
Introduction
12.1 Metadata and Warehouse Quality
12.1.1 Business Quality
12.1.2 Information Quality

12.1.3 Technical Quality
12.2 Matadata Management in Data Warehousing
12.2.1 Benefits of Integrated Meta Data
12.2.2 Improved Productivity
12.2.3 Meta Data Sharing and Interchange

12.2.4 Why two Tools for Meta Data Management?
12.2.5 The Meta Data Hub
12.3 A Repository Model for the DWQ Framework
12.3.1 Quality Meta Model

12.3.2 A Quality-oriented Data Warehouse Process Model
12.4 Defining Data Warehouse Quality
12.5 Summary
12.6 Keywords
12.7 Self Assessment
12.8 Review Questions

12.9 Further Readings

objectives

After studying this unit, you will be able to:
l z Describe metadata and warehouse quality

l z Know metadata management in data warehouse practice
l z Explain repository model for the DWQ framework
l z Define data warehouse quality

introduction

Many researchers and practitioners share the understanding that a data warehouse (DW)
architecture can be formally understood as layers of materialized views on top of each other.
A data warehouse architecture exhibits various layers of data in which data from one layer are

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