NDLI: QODM: A query-oriented data modeling approach for NoSQL databases

Content Provider	IEEE Xplore Digital Library
Author	Xiang Li Zhiyi Ma Hongjie Chen
Copyright Year	2014
Description	Author affiliation: Sch. of EECS, Peking Univ., Beijing, China (Xiang Li; Zhiyi Ma; Hongjie Chen)
Abstract	Cloud applications on the cloud computing platform are different from traditional applications. In addition to SQL databases, cloud applications usually store their data in NoSQL databases. However, most NoSQL databases do not support join operations. Therefore, the traditional relational data modeling approach is not suitable for NoSQL databases, and it makes data query more complex in NoSQL databases. According to the characteristics of NoSQL databases, we proposed a query-oriented data modeling approach for NoSQL databases. This approach can generate data models and data schemas for NoSQL databases based on the stored data structure and data query requirements of an application. Furthermore, we defined a platform independent model of data schema for NoSQL databases. Moreover, we used ElasticInbox, a real cloud application, to evaluate the availability and platform independence of the QODM approach.
Starting Page	338
Ending Page	345
File Size	1749509
Page Count	8
File Format	PDF
e-ISBN	9781479969890
DOI	10.1109/WARTIA.2014.6976265
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-29
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	NoSQL Query-Oriented Blogs Relational databases Data structures Data models Software Data Modeling Indexes
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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