MODERN DATA STORAGE STRATEGIES: BALANCING PERFORMANCE, SCALABILITY, AND COST

Rosario, Castellanos and Laura, Esquivel (2023) MODERN DATA STORAGE STRATEGIES: BALANCING PERFORMANCE, SCALABILITY, AND COST. Synergy: Cross-Disciplinary Journal of Digital Investigation, 1 (2). pp. 28-34. ISSN 2995-4827

Text 28-34+MODERN+DATA+STORAGE+STRATEGIES+BALANCING+PERFORMANCE.pdf Download (601kB)

Abstract

In today’s data-driven world, selecting the optimal data storage strategy is critical for achieving a balance between performance, scalability, and cost-efficiency. This article explores modern data storage paradigms, encompassing traditional relational databases, NoSQL solutions, cloud storage options, and emerging technologies such as distributed and object storage systems. We examine key factors influencing storage decisions, including workload characteristics, access patterns, data volume growth, and budget constraints. Through a detailed analysis, we provide best practices and architectural guidelines to help organizations design flexible storage infrastructures that meet evolving business needs while optimizing resource utilization. By understanding the trade-offs and leveraging innovative approaches, enterprises can ensure high availability, rapid data access, and sustainable scalability without compromising on cost control.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Postgraduate > Master's of Islamic Education
Depositing User:	Journal Editor
Date Deposited:	31 May 2025 05:07
Last Modified:	31 May 2025 05:07
URI:	http://eprints.umsida.ac.id/id/eprint/16132

Actions (login required)

View Item