Rakesh Jena1, Ravi Kiran Pagidi2, Aravind Ayyagiri3, Prof.(Dr) Punit Goel4, Prof.(Dr.) Arpit Jain5&
Dr Satendra Pal Singh6
1Biju Patnaik University of Technology, Rourkela, Odisha 751024,rakesh.public2@gmail.com
2N.Y. University, Waterford, Edison, NJ 08817, USA, ravikiran.pagidi@gmail.com
3Wichita State University, Dublin, CA, 94568, USA, aayyagarieb1@gmail.com
4Maharaja Agrasen Himalayan Garhwal University, Uttarakhand, drkumarpunitgoel@gmail.com
5KL University, Vijaywada, Andhra Pradesh, dr.jainarpit@gmail.com
6Ex-Dean, Gurukul Kangri University, Haridwar, Uttarakhand , spsingh.gkv@gmail.com
Abstract
In the evolving landscape of cloud computing, managing multi-tenant databases presents significant challenges and opportunities. This study investigates the implementation of Oracle 19c for managing multi-tenant databases within cloud environments, focusing on performance optimization, resource management, and security. Utilizing Oracle 19c’s advanced features such as automatic indexing, hybrid partitioning, and enhanced security protocols, we analyze their impact on query execution times, resource allocation, and data isolation. Through empirical research and user feedback, the findings demonstrate substantial improvements in system performance and user satisfaction. This research not only contributes to the understanding of multi-tenant database management but also provides a comprehensive framework for organizations looking to leverage cloud solutions effectively. The implications for future research and practice in database management are discussed, highlighting potential advancements in resource optimization and security frameworks.
Keywords: Multi-Tenant Databases, Oracle 19c, Cloud Computing, Resource Management, Performance Optimization, Data Security, Cloud Environments, Database Management.
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- Arulkumaran, R., Chinta, U., Bhimanapati, V. B. R., Jain, S., & Goel, P. (2023). NLP applications in blockchain data extraction and classification. International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET), 11(7), 32. https://www.ijrmeet.org.
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