Managing Big Data in Cloud Computing Environments - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Managing Big Data in Cloud Computing Environments write by Ma, Zongmin. This book was released on 2016-02-02. Managing Big Data in Cloud Computing Environments available in PDF, EPUB and Kindle. 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.
Handbook of Research on Cloud Computing and Big Data Applications in IoT
Handbook of Research on Cloud Computing and Big Data Applications in IoT - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Research on Cloud Computing and Big Data Applications in IoT write by Gupta, B. B.. This book was released on 2019-04-12. Handbook of Research on Cloud Computing and Big Data Applications in IoT available in PDF, EPUB and Kindle. Today, cloud computing, big data, and the internet of things (IoT) are becoming indubitable parts of modern information and communication systems. They cover not only information and communication technology but also all types of systems in society including within the realms of business, finance, industry, manufacturing, and management. Therefore, it is critical to remain up-to-date on the latest advancements and applications, as well as current issues and challenges. The Handbook of Research on Cloud Computing and Big Data Applications in IoT is a pivotal reference source that provides relevant theoretical frameworks and the latest empirical research findings on principles, challenges, and applications of cloud computing, big data, and IoT. While highlighting topics such as fog computing, language interaction, and scheduling algorithms, this publication is ideally designed for software developers, computer engineers, scientists, professionals, academicians, researchers, and students.
Security and Privacy Trends in Cloud Computing and Big Data
Security and Privacy Trends in Cloud Computing and Big Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Security and Privacy Trends in Cloud Computing and Big Data write by Muhammad Imran Tariq. This book was released on 2022-06-07. Security and Privacy Trends in Cloud Computing and Big Data available in PDF, EPUB and Kindle. It is essential for an organization to know before involving themselves in cloud computing and big data, what are the key security requirements for applications and data processing. Big data and cloud computing are integrated together in practice. Cloud computing offers massive storage, high computation power, and distributed capability to support processing of big data. In such an integrated environment the security and privacy concerns involved in both technologies become combined. This book discusses these security and privacy issues in detail and provides necessary insights into cloud computing and big data integration. It will be useful in enhancing the body of knowledge concerning innovative technologies offered by the research community in the area of cloud computing and big data. Readers can get a better understanding of the basics of cloud computing, big data, and security mitigation techniques to deal with current challenges as well as future research opportunities.
Techniques and Environments for Big Data Analysis
Techniques and Environments for Big Data Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Techniques and Environments for Big Data Analysis write by B. S.P. Mishra. This book was released on 2016-02-05. Techniques and Environments for Big Data Analysis available in PDF, EPUB and Kindle. 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 Data Analysis and recent Techniques and Environments for Big Data Analysis. It gives insight into how the expensive fitness evaluation of evolutionary learning can play a vital role in big data analysis by adopting Parallel, Grid, and Cloud computing environments.
Large Scale and Big Data
Large Scale and Big Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Large Scale and Big Data write by Sherif Sakr. This book was released on 2014-06-25. Large Scale and Big Data available in PDF, EPUB and Kindle. Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques currently available for large-scale data processing. Presenting chapters written by leading researchers, academics, and practitioners, it addresses the fundamental challenges associated with Big Data processing tools and techniques across a range of computing environments. The book begins by discussing the basic concepts and tools of large-scale Big Data processing and cloud computing. It also provides an overview of different programming models and cloud-based deployment models. The book’s second section examines the usage of advanced Big Data processing techniques in different domains, including semantic web, graph processing, and stream processing. The third section discusses advanced topics of Big Data processing such as consistency management, privacy, and security. Supplying a comprehensive summary from both the research and applied perspectives, the book covers recent research discoveries and applications, making it an ideal reference for a wide range of audiences, including researchers and academics working on databases, data mining, and web scale data processing. After reading this book, you will gain a fundamental understanding of how to use Big Data-processing tools and techniques effectively across application domains. Coverage includes cloud data management architectures, big data analytics visualization, data management, analytics for vast amounts of unstructured data, clustering, classification, link analysis of big data, scalable data mining, and machine learning techniques.
