Price: $169.99 - $138.88
(as of Oct 18, 2025 03:52:50 UTC – Details)
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.
Publisher : Springer
Publication date : July 25, 2018
Edition : Softcover reprint of the original 1st ed. 2017
Language : English
Print length : 341 pages
ISBN-10 : 3319854976
ISBN-13 : 978-3319854977
Item Weight : 1.06 pounds
Dimensions : 6.1 x 0.78 x 9.25 inches
Best Sellers Rank: #6,922,855 in Books (See Top 100 in Books) #158 in Memory Management Algorithms #613 in Computer Hardware Design #875 in Microprocessor Design
