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Synopsis
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.
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Review
"Overall, I recommend this book for researchers and advanced graduate students. The collection presents different essays for a very rich and diversified overview of one of the most recent and fast-paced revolutions in computer science."
Radu State, Computing Reviews
Book Description
This reference for computing professionals and researchers describes the general principles of the emerging field of data-intensive computing, along with methods for designing, managing and analyzing the big data sets of today. Applications in bioinformatics and cybersecurity illustrate these principles in practice.
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- PublisherCambridge University Press
- Publication date2012
- ISBN 10 0521191955
- ISBN 13 9780521191951
- BindingHardcover
- LanguageEnglish
- Number of pages297
- EditorGorton Ian, Gracio Deborah K.
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Data-Intensive Computing: Architectures, Algorithms, and Applications
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Data-Intensive Computing: Architectures, Algorithms, and Applications
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Data-Intensive Computing: Architectures, Algorithms, and Applications
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Data-Intensive Computing: Architectures, Algorithms, and Applications
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Hardcover. Condition: new. Hardcover. 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. This reference for computing professionals and researchers describes the general principles of the emerging field of data-intensive computing, along with methods for designing, managing and analyzing the big data sets of today. Applications in bioinformatics and cybersecurity illustrate these principles in practice. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780521191951
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