Abstract
In this article the author builds on previous articles in a series to document the use of a cloud-based data warehouse environment to enable in-depth querying and comparison of bibliographic data from multiple data sources. The author suggests an approach to the recombination of disaggregated bibliographic metadata using low-cost, high value systems that could be transformative in helping libraries, archives, and museums approach bibliographic and other metadata-centric decision-making needs in new ways.
Notes
1.http://libraries.universityofcalifornia.edu/rlfswpt
2.http://libraries.universityofcalifornia.edu/groups/files/sag3/docs/UC_Federal_Document_Archive_Report_and_Recommendations.pdf
3.http://www.lib.berkeley.edu/asktico/procedures/checking-duplicates-nrlfsrlf?destination = node%2F50
4.http://cloud.google.com