The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Big Data and Cloud Computing
Abstract
Big data helps organizations of all sizes track performance, detect issues, and find growth opportunities. Big data has advantages, but supporting it with computer resources and software services may cost even the biggest organizations. Sales, IoT sensors, and user feedback give analytics, and clouds can handle big data. Cloud computing changed computer infrastructure, since all services are cloud-based. Cloud computing is great for massive data storage, administration, and analytics due to its flexibility, pay-as-you-go or pay-per-use strategy, and minimal upfront cost. This chapter examines big data and its analytics with cloud computing for businesses and end users and discusses the key concepts of big data and cloud computing; the advantages, benefits, and disadvantages of big data analytics; cloud service types for big data analytics; security challenges; differences between big data and cloud computing; applications of big data analytics; choosing the cloud deployment model; and security and research issues in big data.
Related Content
Dina Darwish.
© 2024.
43 pages.
|
Kassim Kalinaki, Musau Abdullatif, Sempala Abdul-Karim Nasser, Ronald Nsubuga, Julius Kugonza.
© 2024.
23 pages.
|
Yogita Yashveer Raghav, Ramesh Kait.
© 2024.
17 pages.
|
Renuka Devi Saravanan, Shyamala Loganathan, Saraswathi Shunmuganathan.
© 2024.
21 pages.
|
Veera Talukdar, Ardhariksa Zukhruf Kurniullah, Palak Keshwani, Huma Khan, Sabyasachi Pramanik, Ankur Gupta, Digvijay Pandey.
© 2024.
30 pages.
|
Dharmesh Dhabliya, Sukhvinder Singh Dari, Nitin N. Sakhare, Anish Kumar Dhablia, Digvijay Pandey, Balakumar Muniandi, A. Shaji George, A. Shahul Hameed, Pankaj Dadheech.
© 2024.
9 pages.
|
Avtar Singh, Shobhana Kashyap.
© 2024.
11 pages.
|
|
|