Full metadata
Title
Integrating Big Data: A Semantic Extract-Transform-Load Framework
Description
Current tools that facilitate the extract-transform-load (ETL) process focus on ETL workflow, not on generating meaningful semantic relationships to integrate data from multiple, heterogeneous sources. A proposed semantic ETL framework applies semantics to various data fields and so allows richer data integration.
Date Created
2015-03-01
Contributors
- Bansal, Srividya (Author)
- Kagemann, Sebastian (Author)
- Ira A. Fulton Schools of Engineering (Contributor)
Resource Type
Extent
8 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Identifier
Digital object identifier: 10.1109/MC.2015.76
Identifier Type
International standard serial number
Identifier Value
0018-9162
Peer-reviewed
No
Open Access
No
Series
COMPUTER
Handle
https://hdl.handle.net/2286/R.I.35665
Preferred Citation
Bansal, Srividya K., & Kagemann, Sebastian (2015). Integrating Big Data: A Semantic Extract-Transform-Load Framework. COMPUTER, 48(3), 42-50. http://dx.doi.org/10.1109/MC.2015.76
Level of coding
minimal
Cataloging Standards
Note
Copyright 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
System Created
- 2015-11-03 12:45:45
System Modified
- 2021-12-03 02:43:57
- 2 years 11 months ago
Additional Formats