Reliability Assurance of Big Data in the Cloud, Yun Yang
Автор: Schmarzo Bill Название: Big Data MBA ISBN: 1119181119 ISBN-13(EAN): 9781119181118 Издательство: Wiley Рейтинг: Цена: 33790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Integrate big data into business to drive competitive advantage and sustainable success Big Data MBA brings insight and expertise to leveraging big data in business so you can harness the power of analytics and gain a true business advantage.
Автор: Mosco Vincent Название: To the Cloud: Big Data in a Turbulent World ISBN: 1612056164 ISBN-13(EAN): 9781612056166 Издательство: Taylor&Francis Рейтинг: Цена: 37760.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Cloud computing and big data are arguably the most significant forces in information technology today
Автор: Mavromoustakis Название: Advances in Mobile Cloud Computing and Big Data in the 5G Era ISBN: 331945143X ISBN-13(EAN): 9783319451435 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book reports on the latest advances on the theories, practices, standards and strategies that are related to the modern technology paradigms, the Mobile Cloud computing (MCC) and Big Data, as the pillars and their association with the emerging 5G mobile networks.The book includes 15 rigorously refereed chapters written by leading international researchers, providing the readers with technical and scientific information about various aspects of Big Data and Mobile Cloud Computing, from basic concepts to advanced findings, reporting the state-of-the-art on Big Data management. It demonstrates and discusses methods and practices to improve multi-source Big Data manipulation techniques, as well as the integration of resources availability through the 3As (Anywhere, Anything, Anytime) paradigm, using the 5G access technologies.
Автор: Hamstra Mark, Zaharia Matei Название: Learning Spark: Lightning-Fast Big Data Analytics ISBN: 1449358624 ISBN-13(EAN): 9781449358624 Издательство: Wiley Рейтинг: Цена: 33780.00 T Наличие на складе: Поставка под заказ. Описание: Written by the developers of Spark, this book will have data scientists and engineers up and running in no time.
Автор: Domenico Talia Название: Data Analysis in the Cloud ISBN: 0128028815 ISBN-13(EAN): 9780128028810 Издательство: Elsevier Science Рейтинг: Цена: 35920.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Data Analysis in the Cloud introduces and discusses models, methods, techniques, and systems to analyze the large number of digital data sources available on the Internet using the computing and storage facilities of the cloud.
Coverage includes scalable data mining and knowledge discovery techniques together with cloud computing concepts, models, and systems. Specific sections focus on map-reduce and NoSQL models. The book also includes techniques for conducting high-performance distributed analysis of large data on clouds. Finally, the book examines research trends such as Big Data pervasive computing, data-intensive exascale computing, and massive social network analysis.
Автор: Schou Corey Название: Information Assurance Handbook: Effective Computer Security ISBN: 0071821651 ISBN-13(EAN): 9780071821650 Издательство: McGraw-Hill Рейтинг: Цена: 75490.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A clear, actionable blueprint for securing the vital information and IT services of global organizations of all sizes, this essential guide contains invaluable best practices technically vetted by a panel of global security leaders.
Автор: Klous Название: We are Big Data ISBN: 9462391823 ISBN-13(EAN): 9789462391826 Издательство: Springer Рейтинг: Цена: 27940.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book demonstrates the inevitability of a continuously growing role of data in our society and it stresses that this role does not need to be threatening: to the contrary, collection and analysis of data can help us prevent traffic jams, suppress epidemics, or produce tailor made medicine. The authors sketch the contours of a new information society, in which everything will be measured from our heartbeat during our morning run to the music we listen to and our walking patterns through department stores and they discuss the resistances within the society that have to be overcome.
Sander Klous holds a PhD in High Energy Physics and contributed to the discovery of the Higgs boson at CERN (Nobel prize 2013). Klous works at KPMG and is professor in Big Data at the University of Amsterdam.
Nart Wielaard is a self-employed consultant and business writer. He develops compelling and clear stories on complex topics for a broad range of clients. Wielaard specializes in the domain where technology, society and business meet.
Автор: Marr Bernard Название: Big Data in Practice ISBN: 1119231388 ISBN-13(EAN): 9781119231387 Издательство: Wiley Рейтинг: Цена: 31670.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone`s tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively.
Автор: Caesar Wu Название: Cloud Data Centers and Cost Modeling ISBN: 012801413X ISBN-13(EAN): 9780128014134 Издательство: Elsevier Science Рейтинг: Цена: 88690.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Cloud Data Centers and Cost Modeling establishes a framework for strategic decision-makers to facilitate the development of cloud data centers. Just as building a house requires a clear understanding of the blueprints, architecture, and costs of the project; building a cloud-based data center requires similar knowledge. The authors take a theoretical and practical approach, starting with the key questions to help uncover needs and clarify project scope. They then demonstrate probability tools to test and support decisions, and provide processes that resolve key issues. After laying a foundation of cloud concepts and definitions, the book addresses data center creation, infrastructure development, cost modeling, and simulations in decision-making, each part building on the previous. In this way the authors bridge technology, management, and infrastructure as a service, in one complete guide to data centers that facilitates educated decision making.
Автор: Hsu, Hui-Huang Название: Big Data Analytics for Sensor-Network Collected Intelligence ISBN: 0128093935 ISBN-13(EAN): 9780128093931 Издательство: Elsevier Science Рейтинг: Цена: 101060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people's behaviors, and how to unobtrusively provide better services.
It begins by exploring big data architecture and platforms, covering the cloud computing infrastructure and how data is stored and visualized. The book then explores how big data is processed and managed, the key security and privacy issues involved, and the approaches used to ensure data quality.
In addition, readers will find a thorough examination of big data analytics, analyzing statistical methods for data analytics and data mining, along with a detailed look at big data intelligence, ubiquitous and mobile computing, and designing intelligence system based on context and situation.
Indexing: The books of this series are submitted to EI-Compendex and SCOPUS
Contains contributions from noted scholars in computer science and electrical engineering from around the globe
Provides a broad overview of recent developments in sensor collected intelligence
Edited by a team comprised of leading thinkers in big data analytics
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