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Can I read Handbook of Big Data Analytics: Applications in ICT, security and business analytics (Computing and Networks) on EtoBox?
Handbook of Big Data Analytics: Applications in ICT, security and business analytics (Computing and Networks) by Vadlamani Ravi (editor), Aswani Kumar Cherukuri (editor) is a nonfiction available to read on EtoBox.
What is Handbook of Big Data Analytics: Applications in ICT, security and business analytics (Computing and Networks) about?
Big Data analytics is the complex process of examining big data to uncover information such as correlations, hidden patterns, trends and user and customer preferences, to allow organizations and businesses to make more informed decisions. These methods and technologies have become ubiquitous in all fields of science, engineering, business and management due to the rise of data-driven models as well as data engineering developments using parallel and distributed computational analytics frameworks, data and algorithm parallelization, and GPGPU programming. However, there remain potential issues that need to be addressed to enable big data processing and analytics in real time. In the first volume of this comprehensive two-volume handbook, the authors present several methodologies to support Big Data analytics including database management, processing frameworks and architectures, data lakes, query optimization strategies, towards real-time data processing, data stream analytics, Fog and Edge computing, and Artificial Intelligence and Big Data. The second volume is dedicated to a wide range of applications in secure data storage, privacy-preserving, Software Defined Networks (SDN), In
Who reads Handbook of Big Data Analytics: Applications in ICT, security and business analytics (Computing and Networks)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Vadlamani Ravi (editor), Aswani Kumar Cherukuri (editor)
- Publisher
- Institution of Engineering & Technology; The Institution of Engineering and Technology
- Published
- 2021
- Language
- EN
- ISBN
- 9781839530609
- Category
- nonfiction
- Subjects
- Management, Computer Science, Mathematics
Other editions & translations
- Handbook of Big Data Analytics, Volume 1: Methodologies (2021)
- Handbook of Big Data Analytics: Methodologies (Volume 1) (Computing and Networks) (2021)
- Handbook of Big Data Analytics: Methodologies (Computing and Networks) (2021)
- Handbook of Big Data Analytics: Applications in ICT, security and business analytics (Volume 2) (Computing and Networks) (2021)
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