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International Journal of Scientific and Research Publications

IJSRP, Volume 16, Issue 2, February 2026 Edition [ISSN 2250-3153]

Performance of Database Execution Time for Enhancing Big Data Storage in e-Libraries
     Monali Chaudhari, Snehalata Shirude, Varsha Narayanrao Ikhe
Abstract: Advanced library platforms use large amount of data, referred as Big Data, play a vital role in most transactions, which involve the delivery of data such as course materials and eBooks to students and staff, etc other academic users. The purpose of this paper is to propose an ArangoDB based cohesive model for digital library by evaluating of this multimodel with other data models using query execution time.
Reference this Research Paper (Copy):
Monali Chaudhari, Snehalata Shirude, Varsha Narayanrao Ikhe (2026); Performance of Database Execution Time for Enhancing Big Data Storage in e-Libraries; International Journal of Scientific and Research Publications (IJSRP) 16(2) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.16.02.2026.p17035
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| ISSN: 2250-3153 | DOI: 10.29322/IJSRP