Derivation Of Initial Data Warehouse Structure
By Mapping Operational Database On
Transaction Patterns
Author(s)
A. Khalfe & S. I. Hyder
Abstract
Data warehouses improve the quality of integrated information in the
organization for decision-making. The data for the data warehouse comes from
online transaction systems. Typically, an involved process of analysis precedes
the actual design phase of a data warehouse [1]. The analysis process becomes
more difficult because of the costs involved in hiring experienced staff and the
privacy issues arising from the use of external consultants [2]. Peter Coad’s
transaction pattern [3] is a higher-level description of a generic business process
(or a template) that has helped in the analysis and design of a wide range of
business domains. Thesis of this paper is that the mapping of the operational
databases on the transaction pattern facilitates the derivation of initial data
warehouse structure. During the mapping process, the relationships, roles and
attributes of the players defined by the transaction pattern help us in identifying
the instances of the pattern in the database. Through these instances, we can then
derive the initial data warehouse structure i.e. the attributes of the fact and
dimension table(s). The data warehouse structure thus derived reduces the need
for an extensive information analysis of the needs of the user and the dependency
on the experienced personnel for data warehouse development. This paper
proposes a three-step derivation methodology that is illustrated using a case
study of an organization’s operational database.
Keywords: transaction patterns, mapping, operational database, data
warehouse structure, transaction, transaction players, fact table, dimension
table.
Keywords
transaction patterns, mapping, operational database, data
warehouse structure, transaction, transaction players, fact table, dimension
table.
Related Book
Other papers in this volume
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