Novel Framework for Enhancing E-Governance Systems Using Cloud Computing and Data Management Techniques

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This study proposes a novel way for electronic government organizations to create and deploy computer systems. The recommended solution uses Amazon Web Services (AWS) S3 and Python's Pandas module to handle and analyze citizen data in a safe, scalable cloud. Data, security, and flexibility are major issues with e-government apps. It shows that cloud computing may increase digital governance's reliability, security, and efficiency, offering new alternatives to conventional paradigms. The utilization of cloud computing approaches to overcome traditional network restrictions and create a more flexible and efficient digital framework makes this research unique. According to the study, AWS S3 and Pandas can handle enormous datasets, improve data security, and streamline public service delivery. This strategy promotes service delivery and citizen interaction while improving e-governance's technological competence. According to the paper, online computing's scalability, efficiency, and security make it revolutionary in public administration. It gives states an organizational structure to embrace cloud-based apps, showing how technological improvements may improve government efficiency and efficacy, benefiting residents and the public. Emphasizes electronic governance by proposing a new cloud-based computing architecture for public administration. It enables governments to build more durable and adaptive electronic systems, enabling online governance advances.