View maintenance in a warehousing environment
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Integrating heterogeneous databases: lazy or eager?
ACM Computing Surveys (CSUR) - Special issue: position statements on strategic directions in computing research
An adaptive query execution system for data integration
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Eddies: continuously adaptive query processing
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Clio: a semi-automatic tool for schema mapping
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Optimizing Queries Across Diverse Data Sources
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Incremental Maintenance for Materialized Views over Semistructured Data
VLDB '98 Proceedings of the 24rd 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
Querying Heterogeneous Information Sources Using Source Descriptions
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Building structured web community portals: a top-down, compositional, and incremental approach
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
STBenchmark: towards a benchmark for mapping systems
Proceedings of the VLDB Endowment
Proceedings of the VLDB Endowment
Dynamic workload driven data integration in tableau
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
Extending a general-purpose streaming system for XML
Proceedings of the 15th International Conference on Extending Database Technology
Leveraging flexible data management with graph databases
First International Workshop on Graph Data Management Experiences and Systems
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Today's data integration systems must be flexible enough to support the typical iterative and incremental process of integration, and may need to scale to hundreds of data sources. In this work we present a novel data integration system that offers great flexibility and scalability. Our approach to data integration is unique in that it executes mapping rules at query runtime using annotations. On top, we have built the People People People application. It allows users to search for people, display information about people, and browse through a network of related people, where the data is integrated from local and remote data sources. The demo presents all features of our underlying data integration engine through a set of motivating scenarios.