<span>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 tr
Role of Data-Intensive Distributed Computing Systems in Designing Data Solutions
โ Scribed by Sarvesh Pandey; Udai Shanker; Vijayalakshmi Saravanan; Rajinikumar Ramalingam
- Publisher
- Springer Nature
- Year
- 2023
- Tongue
- English
- Leaves
- 339
- Category
- Library
No coin nor oath required. For personal study only.
โฆ 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.
๐ SIMILAR VOLUMES
The most prominent Web applications in use today are data-intensive. Scores of database management systems across the Internet access and maintain large amounts of structured data for e-commerce, on-line trading, banking, digital libraries, and other high-volume sites.Developing and maintaining thes
<p><p>Data Intensive Computing refers to capturing, managing, analyzing, and understanding data at volumes and rates that push the frontiers of current technologies. The challenge of data intensive computing is to provide the hardware architectures and related software systems and techniques which a