Transforming Retail Analytics with Cloud Database Engineering and Migration
Year: 2025
Type: article
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.
Author: MAHESHBHAI KANSARA -
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4408943169