9th International Conference on ICT for Sustainable Development

Authors - Shailesh Gahane, Pankajkumar Anawade, Deepak Sharma
Abstract - A computer system's on-demand accessibility to resources, especially data storage and processing power, is what is simply referred to as cloud computing. Users of cloud computing commonly have access to, use, work on, and change their work while connecting with peers. Big data simply refers to extremely large amounts of data. Using 5V's, the typical data qualities can be explained. Digital security is one of the most crucial elements today. Security is vitally essential when dealing with huge data since it contains private information, code words, and passwords that, if compromised, might have disastrous effects. When contemplating big data and cloud computing, security issues are very crucial. This system's nodes for authentication, encryption, access control etc. may run into a number of issues, including ones involving data storage, transmission, security, processing, and quality. Cloud computing and big data have applications in a variety of industries, including management, finance, Information Technology, etc. Users may work whenever it's convenient for them thanks to cloud computing, and big data delivers expertise and information. Techniques for handling data, whether for analysis, systematically extracting information from data, or in any other way. Collections that conventional data-processing application software cannot handle due to their size or complexity are referred to as big data techniques. This research paper focusing on the various patterns of Big Data, the big data collaboration with Cloud environment and then the data processing in Data Science and discussing the issues and challenges of big data in cloud environment. The proposed objectives of this research is about to know the improve decision making process in organization and real time analytics to gain insights from data as it is generated from outside the world. The data governance policies to ensure data quality and security and usage of machine learning algorithm for data analysis and leverage the big data analytics to enhance customer experience and engagement the challenges in recruiting and retaining skilled big data Analytics or data scientist. The term "Big Data in the Cloud" to extraordinarily huge datasets, possibly numbering in the hundreds of terabytes and petabytes, making it very tough to work with them using a typical database administration system run on a local computer.