10% off all books and free delivery over £50
Buy from our bookstore and 25% of the cover price will be given to a school of your choice to buy more books. *15% of eBooks.

Role of Data-Intensive Distributed Computing Systems in Designing Data Solutions

View All Editions (1)

The selected edition of this book is not available to buy right now.
Add To Wishlist
Write A Review

About

Role of Data-Intensive Distributed Computing Systems in Designing Data Solutions Synopsis

This book discusses the application of data systems and data-driven infrastructure in existing industrial systems in order to optimize workflow, utilize hidden potential, and make existing systems free from vulnerabilities. The book discusses application of data in the health sector, public transportation, the financial institutions, and in battling natural disasters, among others. Topics include real-time applications in the current big data perspective; improving security in IoT devices; data backup techniques for systems; artificial intelligence-based outlier prediction; machine learning in OpenFlow Network; and application of deep learning in blockchain enabled applications. This book is intended for a variety of readers from professional industries, organizations, and students. 

About This Edition

ISBN: 9783031155413
Publication date:
Author: Sarvesh Pandey
Publisher: Springer International Publishing AG
Format: Hardback
Pagination: 338 pages
Series: EAI/Springer Innovations in Communication and Computing
Genres: Communications engineering / telecommunications
Data mining
Expert systems / knowledge-based systems
Business mathematics and systems
Business applications
Artificial intelligence