Principles of database and knowledge-base systems, Vol. I
Principles of database and knowledge-base systems, Vol. I
Data-driven understanding and refinement of schema mappings
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Advanced grouping and aggregation for data integration
Proceedings of the tenth international conference on Information and knowledge management
WOL: A Language for Database Transformations and Constraints
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
Schema Mapping as Query Discovery
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Declarative Data Cleaning: Language, Model, and Algorithms
Proceedings of the 27th International Conference on Very Large Data Bases
Potter's Wheel: An Interactive Data Cleaning System
Proceedings of the 27th International Conference on Very Large Data Bases
SchemaSQL - A Language for Interoperability in Relational Multi-Database Systems
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Efficient development of data migration transformations
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Discovering complex mapping expressions with the TUPELO data mapping system
Proceedings of the first international workshop on Interoperability of heterogeneous information systems
Multi-column substring matching for database schema translation
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
A flexible framework for multisensor data fusion using data stream management technologies
Proceedings of the 2009 EDBT/ICDT Workshops
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
Data mapper: an operator for expressing one-to-many data transformations
DaWaK'05 Proceedings of the 7th international conference on Data Warehousing and Knowledge Discovery
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Data mappers are essential operators for implementing data transformations supporting schema mapping and integration scenarios such as legacy data migration, ETL processes for data warehousing, data cleaning activities, and business integration initiatives. Despite their widespread use, no formalization of this important operation has been proposed so far. In this paper we propose the data mapper operator as an extension to the relational algebra. We supply a set of algebraic rewriting rules for optimizing queries that combine standard relational operators with data mappers. Finally, we propose algorithms for their efficient physical execution.