High-Performance Big-Data Analytics : Computing Systems and Approaches
Overview
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 infrastructure requirements 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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Details
- ISBN-13: 9783319363240
- ISBN-10: 3319363247
- Publisher: Springer
- Publish Date: August 2016
- Dimensions: 9.21 x 6.14 x 0.91 inches
- Shipping Weight: 1.38 pounds
- Page Count: 428
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