The immense increase on the size and type of real time data generated across various edge computing platform results in unstructured databases and data silos. This edited book gathers together an international set of researchers to investigate the possibilities offered by data-fabric solutions; the volume focuses in particular on data architectures and on semantic changes in future data landscapes.
Author(s): J. Joshua Thomas, Vandana Sharma, Balamurugan Balusamy, L. Godlin Atlas
Publisher: De Gruyter
Year: 2023
Language: English
Pages: 228
City: Berlin
Contents
List of Authors
1 Demystifying Industrial Trends in Data Fabric
2 Web-Based Data Manipulation to Improve the Accessibility of Factory Data Using Big Data Analytics: An Industry 4.0 Approach
3 The Overview of Data Virtualizations and Its Modern Tools in the Domain of Data Fabrics
4 Data Fabric Technologies and Their Innovative Applications
5 Enterprise Data
6 Features, Key Challenges, and Applications of Open-Source Data Fabric Platforms
7 An Open-Source Data Fabric Platform: Features, Architecture, Applications, and Key Challenges in Public Healthcare Systems
8 Simulation Tools for Big Data Fabric
9 Simulation Tools for Data Fabrication
10 Security, Privacy, and Authentication Framework for Web-Driven Data Fabric
11 Government Compliance Strategies for Web-Driven Data Fabric
Index