International Journal on Science and Technology

E-ISSN: 2229-7677   •   Impact Factor: 9.88

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Hybrid Data Architecture: Managing Cost and Performance between On-Premises and Cloud Systems

Author(s) Praveen Kodakandla
Country India
Abstract With the rising use of multi-cloud and hybrid IT environments by enterprises, hybrid data architecture has become a strategic data management methodology used to manage data on-premises and in cloud systems. This architecture enables organisations to keep sensitive workloads under their control and use the scalability and flexibility of the cloud. Nevertheless, the necessity to strike a balance between cost efficiency and performance optimization is one of the key issues. This article discusses major concepts of hybrid data architecture, giving an insight into design patterns, cost optimization strategies, and performance improvement techniques. The study presents, through examination of real-life case studies especially in the banking sector, how agility can be realized in enterprise operations without compromising compliance and data governance. Such issues as interoperability, vendor lock-in, latency, and data sovereignty are also covered, as well as real-world solutions to these problems and their future trends, such as AI-driven infrastructure, edge computing, and zero-trust security models. With the presented systematic guide, the work is beneficial to IT leaders and architects looking to create a resilient, scalable, and cost-efficient hybrid system.
Field Engineering
Published In Volume 13, Issue 1, January-March 2022
Published On 2022-02-04
DOI https://doi.org/10.71097/IJSAT.v13.i1.6413
Short DOI https://doi.org/g9qtjp
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