Advanced Data Management: A Comparative Study of Legacy ETL Systems and Unified Platforms
Somnath Banerjee · International Research Journal of Modernization in Engineering Technology and Science · 2024
This article provides a complete analysis of the strengths and values of modern data analytics programs in contrast to traditional ETL (Extract, Transform, Load) tools.It explores critical aspects such as key features, performance, scalability, usability, and integration capabilities.The discussion highlights how technological advancements have introduced enhanced functionalities, counting real-time data processing, scalability, adaptability, advanced analytics, unified platforms, governance, security, deployment flexibility, costeffectiveness, and ecosystem integration, surpassing the limitations of legacy ETL Solutions.These improvements are pivotal for organizations seeking to unlock the full potential of their data assets and drive innovation in their operations.The article reviews various options for setting up new data pipelines or enhancing existing orchestration systems.Through a detailed evaluation of the benefits, limitations, and key considerations, it provides insights to help researchers and industry professionals make well-informed decisions.It also considers alternative approaches to data integration and processing, such as ELT, streaming data platforms, and advanced analytics tools, offering tailored solutions for specific business needs and use cases.