High-Performance Big-Data Analytics: Computing Systems and Approaches - Siddhartha Duggirala,Dhivya Nagaraj,Pethuru Raj,Anupama Raman
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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 th ... Pilns apraksts
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Aprašymas
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.
Vairāk informācijas
| Autors | Siddhartha Duggirala, Dhivya Nagaraj, Pethuru Raj, Anupama Raman |
|---|---|
| Izdevējs | Springer Nature Switzerland |
| Series | Computer Communications and Networks |
| Izlaides gads | 2015 |
| Vāka tips | Cietais vāks |
| EAN | 9783319207438 |