High-Performance Big-Data Analytics
Computing Systems and Approaches
Nonfiction, Computers, Networking & Communications, Hardware, Advanced Computing, Information Technology, General Computing
| 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.
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.
