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2008 IEEE 24th International Conference on Data Engineering
Orchid: Integrating Schema Mapping and ETL
Cancun, Mexico
April 07-April 12
ISBN: 978-1-4244-1836-7
| ASCII Text | x | ||
| Stefan Dessloch, Mauricio A. Hernandez, Ryan Wisnesky, Ahmed Radwan, Jindan Zhou, "Orchid: Integrating Schema Mapping and ETL," Data Engineering, International Conference on, pp. 1307-1316, 2008 IEEE 24th International Conference on Data Engineering, 2008. | |||
| BibTex | x | ||
| @article{ 10.1109/ICDE.2008.4497540, author = {Stefan Dessloch and Mauricio A. Hernandez and Ryan Wisnesky and Ahmed Radwan and Jindan Zhou}, title = {Orchid: Integrating Schema Mapping and ETL}, journal ={Data Engineering, International Conference on}, volume = {0}, year = {2008}, isbn = {978-1-4244-1836-7}, pages = {1307-1316}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDE.2008.4497540}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Data Engineering, International Conference on TI - Orchid: Integrating Schema Mapping and ETL SN - 978-1-4244-1836-7 SP1307 EP1316 A1 - Stefan Dessloch, A1 - Mauricio A. Hernandez, A1 - Ryan Wisnesky, A1 - Ahmed Radwan, A1 - Jindan Zhou, PY - 2008 VL - 0 JA - Data Engineering, International Conference on ER - | |||
This paper describes Orchid, a system that converts declarative mapping specifications into data flow specifications (ETL jobs) and vice versa. Orchid provides an abstract operator model that serves as a common model for both transformation paradigms; both mappings and ETL jobs are transformed into instances of this common model. As an additional benefit, instances of this common model can be optimized and deployed into multiple target environments. Orchid is being deployed in FastTrack, a data transformation toolkit in IBM Information Server.
Citation:
Stefan Dessloch, Mauricio A. Hernandez, Ryan Wisnesky, Ahmed Radwan, Jindan Zhou, "Orchid: Integrating Schema Mapping and ETL," icde, pp.1307-1316, 2008 IEEE 24th International Conference on Data Engineering, 2008
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