High-Performance Big-Data Analytics: Computing Systems and Approaches: Computer Communications and Networks
Autor Pethuru Raj, Anupama Raman, Dhivya Nagaraj, Siddhartha Duggiralaen Limba Engleză Hardback – 28 oct 2015
Toate formatele și edițiile | Preț | Express |
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Paperback (1) | 618.60 lei 6-8 săpt. | |
Springer International Publishing – 23 aug 2016 | 618.60 lei 6-8 săpt. | |
Hardback (1) | 624.81 lei 6-8 săpt. | |
Springer International Publishing – 28 oct 2015 | 624.81 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783319207438
ISBN-10: 3319207431
Pagini: 428
Ilustrații: XXII, 428 p.
Dimensiuni: 155 x 235 x 29 mm
Greutate: 0.81 kg
Ediția:1st ed. 2015
Editura: Springer International Publishing
Colecția Springer
Seria Computer Communications and Networks
Locul publicării:Cham, Switzerland
ISBN-10: 3319207431
Pagini: 428
Ilustrații: XXII, 428 p.
Dimensiuni: 155 x 235 x 29 mm
Greutate: 0.81 kg
Ediția:1st ed. 2015
Editura: Springer International Publishing
Colecția Springer
Seria Computer Communications and Networks
Locul publicării:Cham, Switzerland
Public țintă
Professional/practitionerCuprins
Emerging Trends and Transformations in the IT Landscape.- High Performance Technologies for Big- and Fast-Data Analytics.- Big- and Fast-Data Analytics for High-Performance Computing.- Network Infrastructure for High-Performance Big-Data Analytics.- Storage Infrastructure for High-Performance Big-Data Analytics.- Real-Time Analytics using High-Performance Computing.- High-Performance Computing Paradigms.- In-Database Processing and In-Memory Analytics.- High-Performance Integrated Systems, Databases and Warehouses for Big- and Fast-Data Analytics.- Cluster and Grid Computing Paradigms.- High-Performance Peer-to-Peer Systems.- Visualization Dimensions for High-Performance Big-Data Analytics.- Social Media Analytics for Organization Empowerment.- Big-Data Analytics for Healthcare.
Textul de pe ultima copertă
This important and timely text/reference presents a detailed review of high-performance computing infrastructures for next-generation big data and fast data analytics.
Comprehensively covering a diverse range of computer systems and proven techniques for high-performance big-data analytics, the book also presents case studies, practical guidelines, and best practices for enabling decision-making toward implementing the appropriate computer systems and approaches.
Topics and features:
Comprehensively covering a diverse range of computer systems and proven techniques for high-performance big-data analytics, the book also presents case studies, practical guidelines, and best practices for enabling decision-making toward implementing the appropriate computer systems and approaches.
Topics and features:
- Includes case studies and learning activities throughout the book, and self-study exercises at the end of every chapter
- Presents detailed case studies on social media analytics for intelligent businesses, and on big data analytics 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, such as machine data analytics and operational analytics
- 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 big and fast data analytics
- Provides information on the use of cluster, grid and cloud computing systems for big data analytics and data-intensive processing
- Reviews the peer-to-peer techniques and tools, and the common information visualization techniques, used in bigdata analytics
Caracteristici
Vividly illustrates the benefits of using high-performance infrastructures for next-generation data analytics Provides numerous and varied case studies and examples of best practice Includes learning activities throughout the book and self-study exercises at the end of every chapter