Cloud Computing and Data Science(CCDS) is an international, open-access, and peer-reviewed journal dedicated to advancing research in cloud computing and data science. The topics of strong interest to our readership span the exploration of established and rapidly emerging topics, which include but ...
This book presents scientific results of the 7th IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD 2021) which was held on August 4-6, 2022 in Danang, Vietnam. The aim of this conference was to bring together researchers and scientists, ...
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TheJournal of Cloud Computingis indexed by the Science Citation Index Expanded/SCIE. SCI has subsequently merged into SCIE. Cloud Computing is now a topic of significant impact and, while it may represent an evolution in technology terms, it is revolutionising the ways in which both academia and...
This book presents the outcomes of the 3rd IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD 2018), which was held on July 10–12, 2018 in Kanazawa. The aim of the conference was to bring together researchers and scientists, businesspeople and ...
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NVIDIA accelerates next-generation capabilities in AI, high-performance computing (HPC), industrial digitalization, robotics, data analytics, and graphics, pushing the boundaries of what’s possible. With full-stack NVIDIA solutions available through all top cloud platforms, enterprises and developers ever...
Cloud computing: a new paradigm for data storage in Indian universities. Indian Journal of Computer Science and Engineering (IJCSE), 2(5), 680-683.Bhanti, Prateek, Sushma Lehri, and Kumar Narendra. "Cloud computing: a new paradigm for data storage in Indian universities." Indian Journal of...
A non-coding introduction to cloud computing, covering key concepts, terminology, and tools. cheatsheet AWS, Azure and GCP Service Comparison for Data Science & AI 17 min This cheat sheet provides a comparison of the main services needed for data and AI-related work, from data engineering to ...