Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	April 2017
Genre:	Naturwissensch., Medizin, Technik
	B / Big Data / Big Data/Analytics / Business mathematics & systems / Circuits and Systems / Computer architecture & logic design / Electronic circuits / Electronic Circuits and Devices / Electronic Circuits and Systems / Electronic devices & materials / Electronics# circuits & components / engineering / IT in Business / Microprocessors / Processor Architectures mehr...
ISBN:	9783319548395
EAN-Code:	9783319548395
Verlag:	Springer EN
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D 27 mm
Gewicht:	6387 gr
Seiten:	330
Illustration:	XI, 330 p. 162 illus., 98 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book describes the current state of the art in big-data analytics, from a technology and hardware architecture perspective. The presentation is designed to be accessible to a broad audience, with general knowledge of hardware design and some interest in big-data analytics. Coverage includes emerging technology and devices for data-analytics, circuit design for data-analytics, and architecture and algorithms to support data-analytics. Readers will benefit from the realistic context used by the authors, which demonstrates what works, what doesn't work, and what are the fundamental problems, solutions, upcoming challenges and opportunities. Provides a single-source reference to hardware architectures for big-data analytics; Covers various levels of big-data analytics hardware design abstraction and flow, from device, to circuits and systems; Demonstrates how non-volatile memory (NVM) based hardware platforms can be a viable solution to existing challenges in hardware architecture for big-data analytics.