Innovative Cloud Computing Techniques for Big Data Administration Getting Past Roadblocks and Developing New Paths
Nimra Mirza1, Shikha Choudhary2, Surbhi Saroha3
1. CSE,SIET, Shobhit Institute of Engineering and Technology Deemed to be University, Meerut,U.P., India
2. CSE,SIET, Shobhit Institute of Engineering and Technology Deemed to be University, Meerut,U.P., India
3. CSE,SIET, Shobhit Institute of Engineering and Technology Deemed to be University, Meerut,U.P., India
Abstract-The digital era's introduction of big data has fundamentally altered the landscape of information management, providing organizations across a wide range of industries with unprecedented opportunities and difficulties. This scientific inquiry digs into the convergence of cloud computing and big data, presenting a thorough history of their evolution and underlining their critical roles in modern data governance. Through a meticulous examination of the critical role of effective big data management across diverse industries, the paper emphasizes the critical importance of cloud computing solutions in addressing the multifaceted complexities arising from data volume, velocity, variety, veracity, and security. Conventional big data handling approaches inside cloud computing frameworks, such as batch processing, stream processing, data warehousing, and virtualization, are thoroughly evaluated in light of their inherent constraints. The paper then examines modern cloud computing solutions that have been precisely tuned to handle the issues of scalability, real-time processing, and security inherent in large data management. The investigation is complemented by the inclusion of informative case studies and real-world examples that demonstrate the practical applicability of these pioneering ideas across a wide range of sectors, from entertainment to manufacturing. Furthermore, the paper defines emerging technologies and trends in cloud computing, highlights persistent obstacles, and outlines prospects for innovation and future research in the field. Ethical and regulatory aspects such as data privacy, fairness, openness, and compliance are extensively reviewed and emphasized. Finally, the article recommends for ongoing innovation, academic investigation, and ethical discernment to fully realize the promise of big data while limiting related hazards, emphasizing the dynamic nature of big data governance within the context of cloud computing.
Key Words: Cloud computing, Big data, Hadoop ,Spark, AI and machine learning integration
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