The Analysis and Integration of Diverse Data Sources for Decision-Making Process of Big Data

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. Big data simply refers to extremely large amounts of data. Using 5 V'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. 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. This paper proposes the issues and challenges of big data in cloud environment. The proposed objectives of this research is to know the challenges in integrating and analyzing diverse data sources and consents of respondents about organization for experience in big data, to know the respondents strategy on big data or data analytics, and the usage of big data analytics to improve decision-making process. And last but not the least to know the investment, usage of big data analytics in organization and the collection/storage of data from various sources.