Emerging Technology and Architecture for Big-data Analytics, (9783319854977) — Readings Books
Emerging Technology and Architecture for Big-data Analytics
Paperback

Emerging Technology and Architecture for Big-data Analytics

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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

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.

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Format
Paperback
Publisher
Springer International Publishing AG
Country
Switzerland
Date
25 July 2018
Pages
330
ISBN
9783319854977

This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

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.

Read More
Format
Paperback
Publisher
Springer International Publishing AG
Country
Switzerland
Date
25 July 2018
Pages
330
ISBN
9783319854977