eprintid: 10737
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/07/37
datestamp: 2023-11-09 16:37:21
lastmod: 2023-11-09 16:37:21
status_changed: 2023-11-09 16:32:05
type: article
metadata_visibility: show
creators_name: Imam, A.A.
creators_name: Basri, S.
creators_name: Ahmad, R.
creators_name: Watada, J.
creators_name: Gonzlez-Aparicio, M.T.
creators_name: Almomani, M.A.
title: Data modeling guidelines for NoSQL document-store databases
ispublished: pub
note: cited By 13
abstract: Good database design is key to high data availability and consistency in traditional databases, and numerous techniques exist to abet designers in modeling schemas appropriately. These schemas are strictly enforced by traditional database engines. However, with the emergence of schema-free databases (NoSQL) coupled with voluminous and highly diversified datasets (big data), such aid becomes even more important as schemas in NoSQL are enforced by application developers, which requires a high level of competence. Precisely, existing modeling techniques and guides used in traditional databases are insufficient for bigdata storage settings. As a synthesis, new modeling guidelines for NoSQL document-store databases are posed. These guidelines cut across both logical and physical stages of database designs. Each is developed based on solid empirical insights, yet they are prepared to be intuitive to developers and practitioners. To realize this goal, we employ an exploratory approach to the investigation of techniques, empirical methods and expert consultations. We analyze how industry experts prioritize requirements and analyze the relationships between datasets on the one hand and error prospects and awareness on the other hand. Few proprietary guidelines were extracted from a heuristic evaluation of 5 NoSQL databases. In this regard, the proposed guidelines have great potential to function as an imperative instrument of knowledge transfer from academia to NoSQL database modeling practices. © 2015 The Science and Information (SAI) Organization Limited.
date: 2018
publisher: Science and Information Organization
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057246451&doi=10.14569%2fIJACSA.2018.091066&partnerID=40&md5=9088ce20288182a656e40de8ac603a20
id_number: 10.14569/IJACSA.2018.091066
full_text_status: none
publication: International Journal of Advanced Computer Science and Applications
volume: 9
number: 10
pagerange: 544-555
refereed: TRUE
issn: 2158107X
citation:   Imam, A.A. and Basri, S. and Ahmad, R. and Watada, J. and Gonzlez-Aparicio, M.T. and Almomani, M.A.  (2018) Data modeling guidelines for NoSQL document-store databases.  International Journal of Advanced Computer Science and Applications, 9 (10).  pp. 544-555.  ISSN 2158107X