Paper Title

Implementing Cloud-Based Data Migration: Solutions with Oracle Fusion

Authors

DASAIAH PAKANATI , ER. LAGAN GOEL , DR.GAURI SHANKER KUSHWAHA

Keywords

• Cloud-Based Data Migration • Oracle Fusion • Data Management • Integration Tools • Data Mapping • Automated Workflows • Data Security • Compliance • Migration Strategies • Legacy Systems

Abstract

In recent years, cloud-based data migration has emerged as a pivotal strategy for organizations seeking to enhance their data management capabilities, optimize costs, and improve agility. Oracle Fusion, with its comprehensive suite of cloud applications, offers robust solutions for data migration. This research paper examines the methodologies, challenges, and benefits of implementing cloud-based data migration using Oracle Fusion. By leveraging Oracle Fusion's advanced tools and technologies, organizations can seamlessly transition from legacy systems to cloud environments, ensuring data integrity, security, and compliance. The paper explores various migration strategies, including the use of Oracle's pre-built integration tools, data mapping techniques, and automated workflows. Additionally, it highlights best practices for planning and executing successful data migrations, addressing potential risks, and measuring the outcomes. Through case studies and expert insights, this paper provides a comprehensive guide for organizations looking to harness the power of Oracle Fusion for their data migration initiatives.

How To Cite

"Implementing Cloud-Based Data Migration: Solutions with Oracle Fusion", JETNR - JOURNAL OF EMERGING TRENDS AND NOVEL RESEARCH (www.JETNR.org), ISSN:2984-9276, Vol.1, Issue 3, page no.a1-a11, March-2023, Available :https://rjpn.org/JETNR/papers/JETNR2303001.pdf

Issue

Volume 1 Issue 3, March-2023

Pages : a1-a11

Other Publication Details

Paper Reg. ID: JETNR_230839

Published Paper Id: JETNR2303001

Downloads: 000208

Research Area: Science and Technology

Country: GHAZIABAD, UP, India

Published Paper PDF: https://rjpn.org/JETNR/papers/JETNR2303001

Published Paper URL: https://rjpn.org/JETNR/viewpaperforall?paper=JETNR2303001

About Publisher

ISSN: 2984-9276 | IMPACT FACTOR: 8.27 Calculated By Google Scholar | ESTD YEAR: 2023

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.27 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: RJPN (IJPublication) Janvi Wave

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