Streamlining enterprise data management: A centralized approach for seamless database migration and data extraction

Prabhakar, Gaurav (2025) Streamlining enterprise data management: A centralized approach for seamless database migration and data extraction. International Journal of Science and Research Archive, 14 (1). pp. 1659-1662. ISSN 25828185

[thumbnail of IJSRA-2025-0144.pdf] Text
IJSRA-2025-0144.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial Share Alike.

Download (424kB)

Abstract

In an era where data is paramount, organizations face the monumental task of managing vast amounts of information. Effective data management strategies for enterprise data frameworks and warehousing are crucial for making informed decisions, enhancing customer experiences, and gaining a competitive edge. This paper examines the challenges of database migration and daily data extraction, presenting a comprehensive solution designed to streamline these processes. By leveraging a centralized App Manager and a customizable File Transfer App, the proposed system automates the data pipeline with minimal human intervention. This innovative approach ensures seamless data integration, robust governance, and efficient data warehousing, ultimately enhancing operational efficiency and organizational success.

Item Type: Article
Uncontrolled Keywords: DBMS; Enterprise Data Management; ETL; Database Migration
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Depositing User: Editor IJSRA
Date Deposited: 08 Jul 2025 16:56
Last Modified: 08 Jul 2025 16:56
URI: https://eprint.scholarsrepository.com/id/eprint/163

Actions (login required)

View Item
View Item