| Author | : Coen Van Gulijk |
| File Size | : 44,5 Mb |
| Publisher | : Elsevier |
| Language | : English |
| Release Date | : 15 October 2019 |
| ISBN | : 0128160454 |
| Pages | : 212 pages |
Graph Databases for Safety by Coen Van Gulijk Book PDF Summary
Graph Databases for Safety: Democratization of Data-Analysis for Safety Experts bridges the gap between computer science and safety science. It introduces a data-platform and safety analysis techniques in the safety science domain. The data platform is based on graph databases, a relatively new form of scalable NoSQL database that can be scaled for huge datasets. The author has developed use cases for the safety domain: automated text analysis for accident reports; remote conditioning monitoring and populating bow-ties with real-life data and databases. He explains how that works exactly so that you may get started in big data for safety. The use cases are still relatively simple: automated text analysis for accident reports; remote conditioning monitoring and populating bow-ties with real-life data and databases. This book opens up an immense potential for further research as virtually any safety-related data can be stored in graph-databases and research questions can be transformed into computer queries for that data in a relatively straightforward manner. Offers a generic and consistent big-data approach to safety paving the way for the digital transformation of safety science and safety management Focus on the practical development of big-data techniques for safety Provides simple and straightforward methods enabling any safety researcher working with big data