Efficiently updating materialized views
SIGMOD '86 Proceedings of the 1986 ACM SIGMOD international conference on Management of data
Maintaining materialized views without accessing base data
Information Systems
Research problems in data warehousing
CIKM '95 Proceedings of the fourth international conference on Information and knowledge management
Using partial information to update materialized views
Information Systems
View maintenance in a warehousing environment
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Implementing data cubes efficiently
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Maintenance of data cubes and summary tables in a warehouse
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Efficient view maintenance at data warehouses
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Maintaining data warehouses under limited source access
Maintaining data warehouses under limited source access
Materialized views in data warehouses
Materialized views in data warehouses
An asynchronous differential join in distributed data replications
Journal of Database Management
Making aggregate views self-maintainable
Data & Knowledge Engineering
A general framework for the view selection problem for data warehouse design and evolution
Proceedings of the 3rd ACM international workshop on Data warehousing and OLAP
The Strobe algorithms for multi-source warehouse consistency
DIS '96 Proceedings of the fourth international conference on on Parallel and distributed information systems
Making views self-maintainable for data warehousing
DIS '96 Proceedings of the fourth international conference on on Parallel and distributed information systems
A case for dynamic view management
ACM Transactions on Database Systems (TODS)
Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals
Data Mining and Knowledge Discovery
Updating Distributed Materialized Views
IEEE Transactions on Knowledge and Data Engineering
Incremental Recomputation of Active Relational Expressions
IEEE Transactions on Knowledge and Data Engineering
An Improved Algorithm for the Incremental Recomputation of Active Relational Expressions
IEEE Transactions on Knowledge and Data Engineering
Temporal View Self-Maintenance
EDBT '00 Proceedings of the 7th International Conference on Extending Database Technology: Advances in Database Technology
Practical Applications of Triggers and Constraints: Success and Lingering Issues (10-Year Award)
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Deriving Production Rules for Incremental View Maintenance
VLDB '91 Proceedings of the 17th International Conference on Very Large Data Bases
On the Independence of Data Warehouse from Databases in Maintaining Join Views
DaWaK '99 Proceedings of the First International Conference on Data Warehousing and Knowledge Discovery
Posse: A Framework for Optimizing Incremental View Maintenance at Data Warehouse
DaWaK '99 Proceedings of the First International Conference on Data Warehousing and Knowledge Discovery
Complements for Data Warehouses
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
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Data warehouses materialize views in order to provide fast access to information, but the correctness also should be maintained. The notion of self-maintenance can be a goal that defined as maintaining views by materializing supplementary data. Incremental update mechanisms can now be prospective way to the goal. A discussion with extensive literature is generated on several issues with maintaining data warehouse views. There are issues related to the data warehouse view maintenance: algebraic approaches, the concurrency control problem, database rule related problems. Motivating example derived from TPC-D database is suggested in terms of incremental base relation method, auxiliary view method, and differential method respectively. After quantitative dealings and qualitative measures are reviewed, it is concluded that the differential method is superior to the others in that it is a true self-maintenance method and it does not burden the current base relations.