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Report on legacy systems and their connection to the S&R related technical characteristics
- Publication Year :
- 2021
- Publisher :
- Zenodo, 2021.
-
Abstract
- This current document is produced in the scope of WP6’s D6.6 “Report on legacy systems and their connection to the S&R related technical characteristics”. The aim of this deliverable is to collect information, properties, and characteristics related to the Legacy Systems, as well as to find databases and retrieve Legacy Data. The collection of this information was implemented by sending questionnaires to international and global first responder organisations as well as at the end-users of the S&R. Furthermore, research regarding the existing EU Legacy Systems for crisis management has been implemented and information about CECIS, GDACS, and PAGER platforms has been collected. As a part of data collection PAGER’S public API has been utilised to retrieve and extract historical data. The data collected concern earthquake incidents and their magnitude, the date, the consequences (tsunami), and the location where they took place. More specifically, the first section of the current document presents general information about Legacy Systems as well as their usage in crisis management. The second part analyzes the overall approach of the procedure and develops an extensive analysis of the aforementioned EU Legacy System. The fourth section describes the process of collection, filtering, and integration of legacy data that have been collected from the PAGER API and their interaction with other components of the platform. It describes from a technical perspective the progressive procedure of legacy data via PAGER public API, the storage in the Data Lake Ecosystem, and hereinafter the transformation to Python objects according to the object-oriented model. In conclusion, after the mapping according to the SnR data model, the rest of the components can fetch and use the data appropriately through the WebHDFS tool.
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi...........1e4583e5065b59d82225aa73bdc480fb
- Full Text :
- https://doi.org/10.5281/zenodo.6327044