Snoop: an expressive event specification language for active databases
Data & Knowledge Engineering
An overview of data warehousing and OLAP technology
ACM SIGMOD Record
ACM Computing Surveys (CSUR)
A survey of logical models for OLAP databases
ACM SIGMOD Record
Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals
Data Mining and Knowledge Discovery
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
Modeling Multidimensional Databases
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
Modeling Multidimensional Databases, Cubes and Cube Operations
SSDBM '98 Proceedings of the 10th International Conference on Scientific and Statistical Database Management
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
Managing Time Consistency for Active Data Warehouse Environments
DaWaK '01 Proceedings of the Third International Conference on Data Warehousing and Knowledge Discovery
Striving towards Near Real-Time Data Integration for Data Warehouses
DaWaK 2000 Proceedings of the 4th International Conference on Data Warehousing and Knowledge Discovery
Analysing multi-dimensional data across autonomous data warehouses
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
Performance optimization of analysis rules in real-time active data warehouses
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
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Data warehouses, which are the core elements of On-Line Analytical Processing (OLAP) systems, are passive since all tasks related to analyzing and making decisions must be carried out manually. This paper introduces a novel architecture, the active data warehouse, which applies the idea of event-condition-action rules (ECA rules) from active database systems to automize repetitive analysis and decision tasks in data warehouses. The work of an analyst is mimicked by analysis rules, which extend the capabilities of conventional ECA rules in order to support multidimensional analysis and decision making.