Optimizing Legacy Data Systems: Techniques for Seamless Modernization

Authors: Mahesh Mokale

DOI: https://doi.org/10.5281/zenodo.14900623

Short DOI: https://doi.org/g85pp5

Country: USA

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Abstract: Legacy data systems remain vital for many organizations, serving as the backbone for critical business operations. However, as technology evolves, these systems often become bottlenecks due to outdated architectures, inefficient processes, limited scalability, and security vulnerabilities. Organizations frequently encounter real-world challenges such as data silos, lack of interoperability with modern applications, high operational costs, and compliance issues that hinder agility and innovation. This paper examines comprehensive techniques for optimizing and modernizing legacy data systems while maintaining data integrity and minimizing disruptions. The discussion focuses on methodologies available on or before 2019, including database migration strategies, advanced data integration approaches, performance optimization techniques, and the adoption of hybrid cloud models. By leveraging schema refinements, indexing strategies, data partitioning, ETL processes, and real-time processing tools such as Apache Kafka, organizations can enhance system performance and interoperability. Additionally, the paper explores best practices for bridging legacy systems with modern applications through middleware solutions and hybrid cloud environments. These strategies collectively enable organizations to extend the longevity of their legacy infrastructures while improving efficiency, scalability, security, and compliance with evolving regulatory requirements.

Keywords: Legacy Data Systems, Data Modernization, Database Migration, Performance Optimization, Hybrid Cloud, Data Integration, Indexing Strategies, ETL Processes,Real-time Processing, Apache Kafka, Data Silos, Operational Costs, Regulatory Compliance, Financial Sector, Mainframe Migration, SQL Server,Transaction Processing, Retail Industry, Caching Mechanisms, Redis, Memcached, E-Commerce Optimization, Healthcare Data Interoperability, Electronic Health Records (EHR), HL7 and FHIR Standards, Middleware Solutions, Apache Camel, HIPAA Compliance, Scalability Issues, Security Vulnerabilities, Cloud Migration, Data Warehousing, In-memory Databases, Batch vs. Real-time Processing, Digital Transformation, SQL Query Optimization, Edge Computing, Private Cloud, Compliance Constraints

Paper Id: 232158

Published On: 2019-01-08

Published In: Volume 7, Issue 1, January-February 2019

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