Paper Key : IRJ************363
Author: Sree Venkata Viswanadh Mallela,Dr.n Ramakrishnaiah,Sree Moukthika Kameswari Mallela,M.s.r.s. Prasad,Venkata Saraswathi Devi Mallela,Sree Naga Raja Sekhar Mallela,Ganjam Satyanarayana
Date Published: 04 Apr 2025
Abstract
Data migration is a critical process for organizations transitioning between different database systems. The complexity of this task increases significantly when dealing with heterogeneous database systems, which are characterized by differences in technologies, architectures, data structures, and query languages. Traditionally, data migration has been a manual, resource-intensive process prone to errors and inefficiencies. However, with the growing need for faster, more reliable migrations, the automation of data migration has become essential.This paper investigates the automation of data migration in heterogeneous database systems, addressing the challenges of data transformation, schema mapping, data consistency, and system compatibility. It highlights the significance of automating the migration process to reduce time, minimize human errors, and ensure data integrity. The paper explores key methodologies, tools, and frameworks, including Extract, Transform, Load (ETL) processes, data integration platforms, and cloud-based solutions, which facilitate seamless migrations across diverse systems.Through the presentation of case studies and practical examples, this paper demonstrates the effectiveness of automated data migration, emphasizing its advantages in terms of cost-efficiency, accuracy, and scalability. The findings underscore the importance of automation in modernizing IT infrastructures and optimizing business operations in a data-driven environment.
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