A Model and a Toolkit for Supporting Incremental Data Warehouse Construction

Authors:
Paolo Naggar;Luigi Pontieri;Mariella Pupo;Giorgio Terracina;Emanuela Virardi
Affiliations:
-;-;-;-;-
Venue:
DEXA '02 Proceedings of the 13th International Conference on Database and Expert Systems Applications
Year:
2002

Citing 10
Cited 2

An overview of data warehousing and OLAP technology

ACM SIGMOD Record
Intensional and extensional integration and abstraction of heterogeneous databases

Data & Knowledge Engineering
Modelling Large Scale OLAP Scenarios

EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
A Logical Approach to Multidimensional Databases

EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Applying Object-Oriented Conceptual Modeling Techniques to the Design of Multidimensional Databases and OLAP Applications

WAIM '00 Proceedings of the First International Conference on Web-Age Information Management
Modeling Multidimensional Databases, Cubes and Cube Operations

SSDBM '98 Proceedings of the 10th International Conference on Scientific and Statistical Database Management
Extending the E/R Model for the Multidimensional Paradigm

ER '98 Proceedings of the Workshops on Data Warehousing and Data Mining: Advances in Database Technologies
Conceptual Design of Data Warehouses from E/R Schema

HICSS '98 Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences-Volume 7 - Volume 7
A Data Warehouse Conceptual Data Model

SSDBM '04 Proceedings of the 16th International Conference on Scientific and Statistical Database Management
Combining inductive and deductive tools for data analysis

AI Communications

DIKE: a system supporting the semi-automatic construction of cooperative information systems from heterogeneous databases

Software—Practice & Experience
ORE: an iterative approach to the design and evolution of multi-dimensional schemas

Proceedings of the fifteenth international workshop on Data warehousing and OLAP

Quantified Score

Hi-index	0.00

Visualization

Abstract

The design of data warehouse is a very relevant issue in supporting the management decisional processes and data analysis. While the design and maintenance of data warehouses are difficult tasks, enterprise managements are increasingly asking for tools capable to support designers in all the activities involving data warehouse construction. In this context it is mandatory to provide designers with the capability to incrementally define data warehouse components. In this paper we propose a conceptual model, called Multidimensional Fact Network (MFN), allowing to incrementally define data marts and a toolkit, called AURORA, based on MFN and providing a comprehensive set of data warehouse design tools.