Abstract

Abstract: Cloud computing is a potent tool for sophisticated and massive-scale computation. It removes the need for expensive hardware, specialized space, and software maintenance. It has been noticed that cloud computing has resulted in a massive increase in the volume of data, or big data. Managing massive amounts of data is a complex and time-consuming operation that requires an extensive computer infrastructure for effective data processing and analysis. Many industries, including minor and major organizations, healthcare, education, and many more, are attempting to harness the potential of big data. In healthcare, for example, big data is used to reduce treatment costs, predict pandemic outbreaks, and prevent infections, among other things. This article discusses comprehensive data processing strategies from system and application perspectives to offer an orderly picture of the issues that application developers and database management system (DBMS) designers face while designing and deploying internet-scale applications. While big data has various uses in various industries, it has challenges.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.