gracio deborah (20 risultati)

Hardcover. Condizione: Very Good. Unread. In stock ready to dispatch from the UK.

Condizione: Very Good.

Hardcover. Condizione: New. In stock ready to dispatch from the UK.

Condizione: New.

Condizione: New. In.

Condizione: New. Describes principles of the emerging field of data-intensive computing, along with methods for designing, managing and analyzing the big data sets of today. Editor(s): Gorton, Ian; Gracio, Deborah K. Num Pages: 297 pages, 82 b/w illus. 8 tables. BIC Classification: UN. Category: (U) Tertiary Education (US: College). Dimension: 236 x 153 x 21. Weight in Grams: 520. . 2012. hardcover. . . . .

Condizione: New. pp. 312.

Condizione: New. Describes principles of the emerging field of data-intensive computing, along with methods for designing, managing and analyzing the big data sets of today. Editor(s): Gorton, Ian; Gracio, Deborah K. Num Pages: 297 pages, 82 b/w illus. 8 tables. BIC Classification: UN. Category: (U) Tertiary Education (US: College). Dimension: 236 x 153 x 21. Weight in Grams: 520. . 2012. hardcover. . . . . Books ship from the US and Ireland.

Hardcover. Condizione: Brand New. 312 pages. 9.10x0.80x6.00 inches. In Stock.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Hardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Hardcover. Condizione: 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condizione: Brand New. 312 pages. 9.10x0.80x6.00 inches. In Stock. This item is printed on demand.

Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Condizione: New. Print on Demand pp. 312 82 Illus.

Hardcover. Condizione: 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 bioinformatic.

Condizione: New. PRINT ON DEMAND pp. 312.

Buch. Condizione: Neu. Data-Intensive Computing | Ian Gorton (u. a.) | Buch | Gebunden | Englisch | 2012 | Cambridge University Press | EAN 9780521191951 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Hardcover. Condizione: 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.