Real-Time Snapshot Maintenance with Incremental ETL Pipelines in Data Warehouses-Reference-Cited by-同舟云学术

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Real-Time Snapshot Maintenance with Incremental ETL Pipelines in Data Warehouses

Published:2015 Issue: Volume: Page:217-228
ISSN:0302-9743
Container-title:Big Data Analytics and Knowledge Discovery
language:
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Author:

Qu Weiping,Basavaraj Vinanthi,Shankar Sahana,Dessloch Stefan

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-22729-0_17

Reference12 articles.

1. Vassiliadis, P., Simitsis, A.: Near real time ETL. In: Kozielski, S., Wrembel, R. (eds.) New Trends in Data Warehousing and Data Analysis, pp. 1–31. Springer, Heidelberg (2009)

2. Karakasidis, A., Vassiliadis, P., Pitoura, E.: ETL queues for active data warehousing. In: Proceedings of the 2nd International Workshop on Information Quality in Information Systems, pp. 28–39. ACM (2005)

3. Behrend, A., Jörg, T.: Optimized incremental ETL jobs for maintaining data warehouses. In: Proceedings of the Fourteenth International Database Engineering and Applications Symposium, pp. 216–224. ACM (2010)

4. Thomsen, C., Pedersen, T.B., Lehner, W.: RiTE: Providing on-demand data for right-time data warehousing. In: ICDE, pp. 456–465 (2008)

5. Zhuge, Y., Garcia-Molina, H., Hammer, J., Widom, J.: View maintenance in a warehousing environment. ACM SIGMOD Rec. 24(2), 316–327 (1995)

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