Emerging Technology and Architecture for Big-Data Analytics

Book 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.

• Format: Paperback
• Language: English
• ISBN: 3319854976
• ISBN13: 9783319854977
• Release Date: July 2018
• Publisher: Springer
• Length: 330 Pages
• Weight: 1.06 lbs.
• Dimensions: 0.7" x 6.1" x 9.2"