Big Data Analytics
Methods and Applications
Seiten
2018
Arcler Education Inc (Verlag)
978-1-77361-504-2 (ISBN)
Arcler Education Inc (Verlag)
978-1-77361-504-2 (ISBN)
Examines various big data modelling and analytics approaches, infrastructure and security issues in the analysis of big data, and applications of big data in business, finance and management. The book provides an understanding of the applications of big data analytics along with its opportunities and challenges.
Big Data Analytics is a comprehensive book that examines various big data modelling and analytics approaches, infrastructure and security issues in analysis of big data, applications of big data in business, finance and management. Provides the readers with insights on methodology and applications of Big Data Analytics so as to understand the practical use of big data analytics along with the opportunities and challenges faced during the course.
Big Data Analytics is a comprehensive book that examines various big data modelling and analytics approaches, infrastructure and security issues in analysis of big data, applications of big data in business, finance and management. Provides the readers with insights on methodology and applications of Big Data Analytics so as to understand the practical use of big data analytics along with the opportunities and challenges faced during the course.
Jovan Pehcevski obtained his PhD in Computer Science from RMIT University in Melbourne, Australia in 2007. His research interests include big data, business intelligence and predictive analytics, data and information science, information retrieval, XML, web services and service-oriented architectures, and relational and NoSQL database systems. He has published over 30 journal and conference papers and he also serves as a journal and conference reviewer. He is currently working as a Dean and Associate Professor at European University in Skopje, Macedonia.
| Erscheinungsdatum | 07.01.2020 |
|---|---|
| Sprache | englisch |
| Maße | 152 x 229 mm |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| ISBN-10 | 1-77361-504-1 / 1773615041 |
| ISBN-13 | 978-1-77361-504-2 / 9781773615042 |
| Zustand | Neuware |
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