View maintenance in a warehousing environment
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
An overview of data warehousing and OLAP technology
ACM SIGMOD Record
Efficient view maintenance at data warehouses
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Distributed and parallel computing issues in data warehousing (abstract)
PODC '98 Proceedings of the seventeenth annual ACM symposium on Principles of distributed computing
Evolvable view environment (EVE): non-equivalent view maintenance under schema changes
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Proceedings of the 2nd ACM international workshop on Data warehousing and OLAP
Maintaining data warehouses over changing information sources
Communications of the ACM
The Strobe algorithms for multi-source warehouse consistency
DIS '96 Proceedings of the fourth international conference on on Parallel and distributed information systems
Multiple View Consistency for Data Warehousing
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
What is the Data Warehousing Problem? (Are Materialized Views the Answer?)
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Incremental Maintenance of Materialized Views
DEXA '97 Proceedings of the 8th International Conference on Database and Expert Systems Applications
Implementing Incremental View Maintenance in Nested Data Models
DBLP-6 Proceedings of the 6th International Workshop on Database Programming Languages
The SDCC Framework For Integrating Existing Algorithms for Diverse Data Warehouse Maintenance Tasks
IDEAS '99 Proceedings of the 1999 International Symposium on Database Engineering & Applications
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The maintenance of data warehouses (DWs) is becoming an increasingly important topic due to the growing use, derivation and integration of digital information. Most previous work has dealt with one centralized data warehouse only. In this paper, we now focus on environments with multiple DWs that are possibly derived from other DWs. In such a large-scale environment, data updates from base sources may arrive in individual data warehouses in different orders, thus resulting in inconsistent data warehouse extents. We propose to address this problem by employing a registry agent responsible for establishing one unique order for the propagation of updates from the base sources to the DWs. With this solution, individual DW managers can still maintain their respective extents autonomously and independently from each other, thus allowing them to apply any existing incremental maintenance algorithm from the literature. We demonstrate that this registry-based coordination approach (RyCo) indeed achieves consistency across all DWs.