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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19445
Article Published : 8041
Total Authors : 21252
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| Paper Title: | Balancing Performance and Economics in Hybrid Cloud Data Architectures |
| Authors Name: | Praveen Kodakandla |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_206812
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| Published Paper Id: | IJRTI2202021 |
| Published In: | Volume 7 Issue 2, February-2022 |
| DOI: | |
| Abstract: | As enterprises increasingly distribute their data and workloads across on-premises and cloud environments, achieving the right balance between performance and economic efficiency has become a defining challenge in modern data strategy. Hybrid cloud data architectures allow organizations to combine the control and security of local systems with the elasticity and innovation of cloud platforms. However, realizing this potential requires deliberate design choices that optimize cost, scalability, and operational performance. This article examines the core principles of hybrid cloud data architecture, emphasizing design strategies, cost-governance models, and performance optimization methods. Drawing insights from real-world implementations—particularly in the banking and financial sectors—it illustrates how enterprises can achieve agility and compliance while containing costs. The discussion also explores key challenges such as latency, interoperability, vendor lock-in, and data sovereignty, and highlights emerging trends like AI-driven infrastructure management, edge computing, and zero-trust security frameworks. By presenting a structured and practical approach, this study serves as a reference for IT leaders and data architects seeking to build resilient, high-performing, and financially sustainable hybrid ecosystems. |
| Keywords: | hybrid cloud architecture, performance optimization, cost governance, multi-cloud, edge computing, data sovereignty, AI automation |
| Cite Article: | "Balancing Performance and Economics in Hybrid Cloud Data Architectures", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 2, page no.135-148, February-2022, Available :http://www.ijrti.org/papers/IJRTI2202021.pdf |
| Downloads: | 000118 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2202021
Registration ID:206812
Published In: Volume 7 Issue 2, February-2022
DOI (Digital Object Identifier):
Page No: 135-148 Country: -, -, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2202021 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2202021 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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