Abstract:

This is a comprehensive review of ETL tools' evolution and comparative analysis in modern data engineering environments. This work distinguishes differences in performance, scalability, integration capabilities, and the user experience involved with traditional and contemporary ETL solutions through a detailed evaluation of these solutions. It has evaluated structured methodology on different ETL platforms on whether they can cope with various sources of data, real-time processing needs, and complicated transformation scenarios. Conclusion: The solutions made in the clouds are much more scalable and flexible than other tools. Though traditional tools still have relevance in specific use cases, this analysis offers profound findings for organizations seeking to optimize their data integration strategy.

Description:

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