TEMPORAL DATA MANAGEMENT IN NOSQL DATABASES
Morgan D. Monger,
Ramon A. Mata-Toledo and
Pranshu Gupta
Additional contact information
Morgan D. Monger: Datatel Inc., Fairfax, VA 22033
Ramon A. Mata-Toledo: Department of Computer Science, James Madison University, Harrisonburg, VA 22801
Pranshu Gupta: Computing and Information Sciences, Kansas State University, Manhattan, KS 66502
Journal of Information Systems & Operations Management, 2012, vol. 6, issue 2, 237-243
Abstract:
Temporal data management is recognized concept of managing data that changes over time. Traditionally, a temporal data management system (TDMS) was considered separate system, i.e. an extension of the traditional relational database management system (RDBMS). Recently a non-relational database, called NoSQL, has become quite popular for scalability and storage of big data. Even with this new approach for managing data, temporal data management is still a work in progress. This paper provides an overview of temporal data management and NoSQL databases. Also, temporal data management is discussed within the context of NoSQL databases. This paper concludes with observations and suggestions for future research.
Keywords: temporal database; NoSQL; database; big data; bi-temporal data (search for similar items in EconPapers)
Date: 2012
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.rebe.rau.ro/RePEc/rau/jisomg/WI12/JISOM-WI12-A1.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:rau:jisomg:v:6:y:2012:i:2:p:237-243
Access Statistics for this article
More articles in Journal of Information Systems & Operations Management from Romanian-American University Contact information at EDIRC.
Bibliographic data for series maintained by Alex Tabusca ().