Improving OLTP Data Quality Using Data Warehouse Mechanisms
Summary: Proposes a warehouse-to-OLTP workflow that transfers data-quality techniques from the data warehouse to operational data. Leverages view maintenance/update and replication to map DW quality metrics onto OLTP data, enabling proactive cleansing instead of post-hoc fixes. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Matthias Jarke (RWTH Aachen University)
- 2. Christoph Quix (RWTH Aachen University)
- 3. Guido Blees (Team4 Systemhaus GmbH)
- 4. Dirk Lehmann (Team4 Systemhaus GmbH)
- 5. Gunter Michalk (Team4 Systemhaus GmbH)
- 6. Stefan Stierl (Team4 Systemhaus GmbH)
BibTeX Citation
@inproceedings{jarke_sigmod99,
title = {{Improving OLTP Data Quality Using Data Warehouse Mechanisms}},
author = {Jarke, Matthias and Quix, Christoph and Blees, Guido and Lehmann, Dirk and Michalk, Gunter and Stierl, Stefan},
series = {{SIGMOD} '99},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/304182.304568},
url = {https://dl.acm.org/doi/10.1145/304182.304568},
year = {1999}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,091 | Incremental Maintenance of Externally Materialized Views | 1996 | VLDB | 0.00012226764 |
| 2,901 | A Framework for Supporting Data Integration Using the Materialized and Virtual Approaches | 1996 | SIGMOD | 7.9774387e-05 |
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