AWS Glue in Action: Estimating Financial, Computing, and Time Costs for Cloud Data Migration Projects
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Sushmita Chakraborty
Vishal Bhatnagar
Abstract
This study looks at how AWS Glue may be used in practice to estimate the time, money, and compute expenses related to cloud data transfer projects. As more and more businesses go to cloud-based infrastructures, it's critical to comprehend and control these expenses for effective resource management and project scheduling. We created an extensive estimating framework and used it on real-world case studies by utilizing AWS Glue's capabilities. In order to present a comprehensive picture of the migration process, our technique include assessing a variety of indicators and cost considerations. The findings demonstrate how AWS Glue significantly affects project success and cost prediction accuracy. By providing practical insights for decision-makers participating in cloud data migration projects, this study adds to the body of literature by promoting resource optimization and well-informed decision-making.
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This work is licensed under a Creative Commons Attribution 4.0 International License.