High-Performance Big-Data Analytics

Computing Systems and Approaches

Nonfiction, Computers, Networking & Communications, Hardware, Advanced Computing, Information Technology, General Computing
Cover of the book High-Performance Big-Data Analytics by Dhivya Nagaraj, Siddhartha Duggirala, Anupama Raman, Pethuru Raj, Springer International Publishing
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Author: Dhivya Nagaraj, Siddhartha Duggirala, Anupama Raman, Pethuru Raj ISBN: 9783319207445
Publisher: Springer International Publishing Publication: October 16, 2015
Imprint: Springer Language: English
Author: Dhivya Nagaraj, Siddhartha Duggirala, Anupama Raman, Pethuru Raj
ISBN: 9783319207445
Publisher: Springer International Publishing
Publication: October 16, 2015
Imprint: Springer
Language: English

This book presents a detailed review of high-performance computing infrastructures for next-generation big data and fast data analytics. Features: includes case studies and learning activities throughout the book and self-study exercises in every chapter; presents detailed case studies on social media analytics for intelligent businesses and on big data analytics (BDA) in the healthcare sector; describes the network infrastructure requirements for effective transfer of big data, and the storage infrastructurerequirements of applications which generate big data; examines real-time analytics solutions; introduces in-database processing and in-memory analytics techniques for data mining; discusses the use of mainframes for handling real-time big data and the latest types of data management systems for BDA; provides information on the use of cluster, grid and cloud computing systems for BDA; reviews the peer-to-peer techniques and tools and the common information visualization techniques, used in BDA.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book presents a detailed review of high-performance computing infrastructures for next-generation big data and fast data analytics. Features: includes case studies and learning activities throughout the book and self-study exercises in every chapter; presents detailed case studies on social media analytics for intelligent businesses and on big data analytics (BDA) in the healthcare sector; describes the network infrastructure requirements for effective transfer of big data, and the storage infrastructurerequirements of applications which generate big data; examines real-time analytics solutions; introduces in-database processing and in-memory analytics techniques for data mining; discusses the use of mainframes for handling real-time big data and the latest types of data management systems for BDA; provides information on the use of cluster, grid and cloud computing systems for BDA; reviews the peer-to-peer techniques and tools and the common information visualization techniques, used in BDA.

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