This book discusses the advanced databases for the cloud-based application known as NoSQL. It will explore the recent advancements in NoSQL database technology. Chapters on structured, unstructured and hybrid databases will be included to explore bigdata analytics, bigdata storage and processing. The book is likely to cover a wide range of topics such as cloud computing, social computing, bigdata and advanced databases processing techniques.
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Produkt-Hinweis
Fadenheftung
Gewebe-Einband
Illustrationen
287 s/w Abbildungen, 232 s/w Photographien bzw. Rasterbilder, 52 s/w Zeichnungen, 100 s/w Tabellen
100 Tables, black and white; 52 Line drawings, black and white; 232 Halftones, black and white; 287 Illustrations, black and white
Maße
Höhe: 261 mm
Breite: 184 mm
Dicke: 32 mm
Gewicht
ISBN-13
978-1-4987-8436-8 (9781498784368)
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Schweitzer Klassifikation
Ganesh Chandra Deka is the Principal, Regional Vocational Training Institute for Women, Tura, Meghalaya, under Directorate General of Training, Ministry of Skill Development & Entrepreneurship, Govt of India, New Delhi, India. His previous assignment includes, Assistant Director of Training in DGE&T, Ministry of Labor & Employment, Government of India, New Delhi-1 [2006-2014], Consultant (Computer Science], National Institute of Rural Development-North Eastern Regional Centre, Guwahati, Assam, under the Ministry of Rural Development [2003-2006], Govt of India and Programmer (World Bank Project) at Nowgong Polytechnic, Nagaon, Assam, India under the Directorate of Technical Education, Assam, India [1995-2003].He is the co-author for 3 text books in fundamentals of computer science. So far he has published 4 edited books (3 with IGI Global USA, 1 with CRC Press).
Herausgeber*in
Regional Vocational Training Institute for Women, Tura, India
Databases and the Web. NoSQL Databases and Their Features. Hybrid Databases. Hardware Acceleration for Database Operations. Map-Reduced Architecture. Hadoop Architecture. Database Migration in NoSQL Databases. NoSQL as Bigdata Analytics Tools. Prospects of NoSQL for Bigdata Analytics. Research Trends in Cloud Database.