Data Intensive Computing
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Handbook Of Data Intensive Computing
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Author : Borko Furht
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-12-10
Handbook Of Data Intensive Computing written by Borko Furht and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-10 with Computers categories.
Data Intensive Computing refers to capturing, managing, analyzing, and understanding data at volumes and rates that push the frontiers of current technologies. The challenge of data intensive computing is to provide the hardware architectures and related software systems and techniques which are capable of transforming ultra-large data into valuable knowledge. Handbook of Data Intensive Computing is written by leading international experts in the field. Experts from academia, research laboratories and private industry address both theory and application. Data intensive computing demands a fundamentally different set of principles than mainstream computing. Data-intensive applications typically are well suited for large-scale parallelism over the data and also require an extremely high degree of fault-tolerance, reliability, and availability. Real-world examples are provided throughout the book. Handbook of Data Intensive Computing is designed as a referencefor practitioners and researchers, including programmers, computer and system infrastructure designers, and developers. This book can also be beneficial for business managers, entrepreneurs, and investors.
Data Intensive Computing Applications For Big Data
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Author : Mamta Mittal
language : en
Publisher: SAGE Publications Limited
Release Date : 2018-01-15
Data Intensive Computing Applications For Big Data written by Mamta Mittal and has been published by SAGE Publications Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-15 with Computers categories.
The book ‘Data Intensive Computing Applications for Big Data’ discusses the technical concepts of big data, data intensive computing through machine learning, soft computing and parallel computing paradigms. It brings together researchers to report their latest results or progress in the development of the above mentioned areas. Since there are few books on this specific subject, the editors aim to provide a common platform for researchers working in this area to exhibit their novel findings. The book is intended as a reference work for advanced undergraduates and graduate students, as well as multidisciplinary, interdisciplinary and transdisciplinary research workers and scientists on the subjects of big data and cloud/parallel and distributed computing, and explains didactically many of the core concepts of these approaches for practical applications. It is organized into 24 chapters providing a comprehensive overview of big data analysis using parallel computing and addresses the complete data science workflow in the cloud, as well as dealing with privacy issues and the challenges faced in a data-intensive cloud computing environment. The book explores both fundamental and high-level concepts, and will serve as a manual for those in the industry, while also helping beginners to understand the basic and advanced aspects of big data and cloud computing.
Data Intensive Computing
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Author : Ian Gorton
language : en
Publisher: Cambridge University Press
Release Date : 2012-10-29
Data Intensive Computing written by Ian Gorton and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-29 with Computers categories.
The world is awash with digital data from social networks, blogs, business, science and engineering. Data-intensive computing facilitates understanding of complex problems that must process massive amounts of data. Through the development of new classes of software, algorithms and hardware, data-intensive applications can provide timely and meaningful analytical results in response to exponentially growing data complexity and associated analysis requirements. This emerging area brings many challenges that are different from traditional high-performance computing. This reference for computing professionals and researchers describes the dimensions of the field, the key challenges, the state of the art and the characteristics of likely approaches that future data-intensive problems will require. Chapters cover general principles and methods for designing such systems and for managing and analyzing the big data sets of today that live in the cloud and describe example applications in bioinformatics and cybersecurity that illustrate these principles in practice.
Handbook Of Data Intensive Computing
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Author :
language : en
Publisher:
Release Date : 2011-12-01
Handbook Of Data Intensive Computing written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-01 with categories.
Cloud Computing
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Author : Frederic Magoules
language : en
Publisher: CRC Press
Release Date : 2016-04-19
Cloud Computing written by Frederic Magoules and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Computers categories.
As more and more data is generated at a faster-than-ever rate, processing large volumes of data is becoming a challenge for data analysis software. Addressing performance issues, Cloud Computing: Data-Intensive Computing and Scheduling explores the evolution of classical techniques and describes completely new methods and innovative algorithms. The
Data Intensive Distributed Computing Challenges And Solutions For Large Scale Information Management
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Author : Kosar, Tevfik
language : en
Publisher: IGI Global
Release Date : 2012-01-31
Data Intensive Distributed Computing Challenges And Solutions For Large Scale Information Management written by Kosar, Tevfik and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-31 with Computers categories.
"This book focuses on the challenges of distributed systems imposed by the data intensive applications, and on the different state-of-the-art solutions proposed to overcome these challenges"--Provided by publisher.
Data Intensive Computing
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Author : Ian Gorton
language : en
Publisher:
Release Date : 2012
Data Intensive Computing written by Ian Gorton and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Electronic books categories.
Describes principles of the emerging field of data-intensive computing, along with methods for designing, managing and analyzing the big data sets of today.
Cloud Computing
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Author : FREDERIC. PAN MAGOULES (JIE. TENG, FEI.)
language : en
Publisher:
Release Date : 2023
Cloud Computing written by FREDERIC. PAN MAGOULES (JIE. TENG, FEI.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.
The Data Bonanza
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Author : Malcolm Atkinson
language : en
Publisher: John Wiley & Sons
Release Date : 2013-03-19
The Data Bonanza written by Malcolm Atkinson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-19 with Computers categories.
Complete guidance for mastering the tools and techniques of the digital revolution With the digital revolution opening up tremendous opportunities in many fields, there is a growing need for skilled professionals who can develop data-intensive systems and extract information and knowledge from them. This book frames for the first time a new systematic approach for tackling the challenges of data-intensive computing, providing decision makers and technical experts alike with practical tools for dealing with our exploding data collections. Emphasizing data-intensive thinking and interdisciplinary collaboration, The Data Bonanza: Improving Knowledge Discovery in Science, Engineering, and Business examines the essential components of knowledge discovery, surveys many of the current research efforts worldwide, and points to new areas for innovation. Complete with a wealth of examples and DISPEL-based methods demonstrating how to gain more from data in real-world systems, the book: Outlines the concepts and rationale for implementing data-intensive computing in organizations Covers from the ground up problem-solving strategies for data analysis in a data-rich world Introduces techniques for data-intensive engineering using the Data-Intensive Systems Process Engineering Language DISPEL Features in-depth case studies in customer relations, environmental hazards, seismology, and more Showcases successful applications in areas ranging from astronomy and the humanities to transport engineering Includes sample program snippets throughout the text as well as additional materials on a companion website The Data Bonanza is a must-have guide for information strategists, data analysts, and engineers in business, research, and government, and for anyone wishing to be on the cutting edge of data mining, machine learning, databases, distributed systems, or large-scale computing.
Special Issue Data Intensive Computing
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Author : Surendra Byna
language : en
Publisher:
Release Date : 2011
Special Issue Data Intensive Computing written by Surendra Byna and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.