
Emerging Technology and Architecture for Big-Data Analytics
Format: Hardcover
ISBN13: 9783319548395
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Overview
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.
| ISBN-13 | 9783319548395 |
|---|---|
| ISBN-10 | 3319548395 |
| Weight | 1.80 Pounds |
| Dimensions | 6.14 x 1.00 x 9.21 In |
| List Price | $169.99 |
| Edition | 1st Edition |
| Format | Hardcover |
|---|---|
| Language | English |
| Pages | xi, 330 pages |
| Publisher | Springer |
| Published On | 2017-04-27 |
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Sparks, NV, USA
Free delivery by: 04 Apr 2026