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International Journal of Multidisciplinary and Scientific
Emerging Research (IJMSERH)

|Peer Reviewed, Refereed & Open Access Journal | Follows UGC CARE Journal Norms and Guidelines|

|ISSN 2349-6037|Approved by ISSN, NSL & NISCAIR| Impact Factor: 9.274 |ESTD:2013|

|Scholarly Open Access Journal, Peer-Reviewed, and Refereed Journals, Impact factor 9.274 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Multidisciplinary, Quarterly, Citation Generator, Digital Object Identifier(DOI)|

Article

TITLE Phased Migration Strategies for Modernizing Enterprise Data Warehouses
ABSTRACT A data warehouse combines enormous amounts of structured and semi-structured data from varied sources, enabling operational efficiency, analysis of historical trends, and decision-making. Oracle Cloud Database offers cloud-native capabilities like elasticity, auto-scaling, native security, and high availability that give firms a scalable and fault-tolerant foundation minimizing infrastructure cost while supporting real-time analytics, machine learning, and complex data processing. Deploying an Oracle Customer Warehouse Environment (CWE) on a new cloud data warehouse platform has the following benefits: elasticity and scalability, cost-effective, low maintenance, improved performance, improved data integration, strong security and compliance, and faster time to insight. Pay-as-you-go models keep ownership costs minimal by avoiding upfront hardware and license costs. Cloud services with management spare patching, backups, and tuning to reduce administrative effort. Migration of an Oracle Customer Warehouse Environment (CWE) to a modern cloud data warehouse platform offers a new, dynamic, and cost-effective analytics platform that can grow and change with changing firm needs and yield value indefinitely.
AUTHOR Venkat Sunil Kumar Indurthy Software Developer, Compunnel Software Group Inc., USA
PUBLICATION DATE 2025-11-19 19:17:07
VOLUME 13
ISSUE 2
DOI DOI: 10.15662/IJMSERH.2025.1302078
PDF pdf/2025/4/78_Phased Migration Strategies for Modernizing Enterprise Data Warehouses.pdf
KEYWORDS

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