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

This book explores the application of data systems and data-driven infrastructure to optimize workflow, utilize hidden potential, and make existing systems free from vulnerabilities. It covers topics such as real-time applications, improving security, data backup, artificial intelligence, machine learning, and deep learning in various industries.

Format: Hardback
Length: 338 pages
Publication date: 26 January 2023
Publisher: Springer International Publishing AG

This comprehensive book delves into the realm of leveraging data systems and data-driven infrastructure to optimize workflow, unlock hidden potential, and enhance the security of existing industrial systems. It explores the transformative power of data in various sectors, including healthcare, public transportation, finance, and disaster management. The book covers a wide range of topics, including real-time applications in the context of big data, improving security in Internet of Things (IoT) devices, data backup techniques, artificial intelligence-based outlier prediction, machine learning in OpenFlow networks, and the application of deep learning in blockchain-enabled applications. Designed for a diverse audience, including professionals from various industries, organizations, and students, this book offers valuable insights and practical strategies for integrating data into industrial systems and achieving optimal performance.

This comprehensive book delves into the realm of leveraging data systems and data-driven infrastructure to optimize workflow, unlock hidden potential, and enhance the security of existing industrial systems. It explores the transformative power of data in various sectors, including healthcare, public transportation, finance, and disaster management. The book covers a wide range of topics, including real-time applications in the context of big data, improving security in Internet of Things (IoT) devices, data backup techniques, artificial intelligence-based outlier prediction, machine learning in OpenFlow networks, and the application of deep learning in blockchain-enabled applications. Designed for a diverse audience, including professionals from various industries, organizations, and students, this book offers valuable insights and practical strategies for integrating data into industrial systems and achieving optimal performance.

Weight: 694g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031155413
Edition number: 1st ed. 2023