Managing Big Data in Cloud Computing Environments

✍ Scribed by Zongmin Ma

Publisher: Information Science Reference
Year: 2016
Tongue: English
Leaves: 334
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Cloud computing has proven to be a successful paradigm of service-oriented computing, and has revolutionized the way computing infrastructures are abstracted and used. By means of cloud computing technology, massive data can be managed effectively and efficiently to support various aspects of problem solving and decision making.
Managing Big Data in Cloud Computing Environments explores the latest advancements in the area of data management and analysis in the cloud. Providing timely, research-based information relating to data storage, sharing, extraction, and indexing in cloud systems, this publication is an ideal reference source for graduate students, IT specialists, researchers, and professionals working in the areas of data and knowledge engineering.

📜 SIMILAR VOLUMES

Advances in Big Data and Cloud Computing

📁 Advances in Big Data and Cloud Computing

✍ Elijah Blessing Rajsingh, Jey Veerasamy, Amir H. Alavi, J. Dinesh Peter 📂 Library 📅 2018 🏛 Springer Singapore 🌐 English

This book is a compendium of the proceedings of the International Conference on Big-Data and Cloud Computing. It includes recent advances in the areas of big data analytics, cloud computing, the Internet of nano things, cloud security, data analytics in the cloud, smart cities and grids, etc. Pri

Cloud Computing and Big Data

📁 Cloud Computing and Big Data

✍ C. Catlett; W. Gentzsch; L. Grandinetti 📂 Library 📅 2013 🏛 IOS Press, Incorporated 🌐 English

Cloud computing offers many advantages to researchers and engineers who need access to high performance computing facilities for solving particular compute-intensive and/or large-scale problems, but whose overall high performance computing (HPC) needs do not justify the acquisition and operation of

Big Data, Cloud Computing, Data Science

📁 Big Data, Cloud Computing, Data Science & Engineering

✍ Roger Lee 📂 Library 📅 2019 🏛 Springer International Publishing 🌐 English

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 entr

Techniques and Environments for Big Data

📁 Techniques and Environments for Big Data Analysis: Parallel, Cloud, and Grid Computing

✍ Bhabani Shankar Prasad Mishra, Satchidananda Dehuri, Euiwhan Kim, Gi-Name Wang ( 📂 Library 📅 2016 🏛 Springer International Publishing 🌐 English

This volume is aiming at a wide range of readers and researchers in the area of Big Data by presenting the recent advances in the fields of Big Data Analysis, as well as the techniques and tools used to analyze it. The book includes 10 distinct chapters providing a concise introduction to Big

Advances in Communication, Cloud, and Bi

📁 Advances in Communication, Cloud, and Big Data

✍ Hiren Kumar Deva Sarma, Samarjeet Borah, Nitul Dutta 📂 Library 📅 2019 🏛 Springer Singapore 🌐 English

This book is an outcome of the second national conference on Communication, Cloud and Big Data (CCB) held during November 10-11, 2016 at Sikkim Manipal Institute of Technology. The nineteen chapters of the book are some of the accepted papers of CCB 2016. These chapters have undergone r

Big Data, Cloud Computing and IoT

📁 Big Data, Cloud Computing and IoT

✍ Sita Rani (editor), Pankaj Bhambri (editor), Aman Kataria (editor), Alex Khang ( 📂 Library 🏛 Chapman and Hall/CRC 🌐 English

Cloud computing, the Internet of Things (IoT), and big data are three significant technological trends affecting the world's largest corporations. This book discusses big data, cloud computing, and the IoT, with a focus on the benefits and implementation problems. In addition, it examines t