International Journal on Science and Technology

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Transforming Retail Analytics with Cloud Database Engineering and Migration

Author(s) MAHESHBHAI KANSARA
Country United States
Abstract Retail organizations increasingly rely on advanced analytics capabilities to gain competitive advantages through enhanced customer experiences and optimized operations. This article examines the critical role of database engineering managers in planning and executing cloud database migrations that enable these capabilities. The transformation process involves assessing legacy systems, designing appropriate architecture, selecting suitable cloud platforms, and implementing effective integration patterns. The article explores how cloud database architectures enable sophisticated analytical workloads including AI-driven customer insights, real-time inventory management, and supply chain optimization. It further discusses performance optimization techniques, observability frameworks, and security considerations essential for success. Throughout the migration journey, database engineering managers must balance technical requirements with business objectives while addressing complex integration challenges across disparate systems. The article demonstrates that successful cloud migrations not only improve performance metrics but also enable entirely new business capabilities that drive revenue growth and operational efficiency.
Keywords Retail analytics, Cloud database migration, Real-time inventory optimization, Data integration patterns, Security compliance frameworks
Field Computer
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-03-28
Cite This Transforming Retail Analytics with Cloud Database Engineering and Migration - MAHESHBHAI KANSARA - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2993
DOI https://doi.org/10.71097/IJSAT.v16.i1.2993
Short DOI https://doi.org/g896dz
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