Data Science for Emergency Services v0.0.1

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Real-Time Data Replication Between Remote Information Systems

Category: architecture | Status: In progress

1 min to read

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Website
GitHub repo
How to implement a real-time data streaming and ingestion with Apache Kafka and Debezium.

More than ever people are expecting to share, access and get data processed in real-time. Unfortunately on this subject, public services are lagging far behind the private sector.

This project aims to show one path to make this goal affordable with Apache Kafka and Debezium through a dedicated documentation:


https://ds4es.org/real-time-data-replication-between-remote-is

See also

Unit response oracle

date_range 19/06/2020

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The response time is one of the most important factors for emergency services because their ability to save lives and rescue people depends on it. A non-optimal choice of an emergency vehicle for a rescue request may lengthen the arrival time of the rescuers and impact the future of the victim. This choice is therefore highly critical for emergency services and directly rely on their ability to predict precisely the arrival time of the different units available.

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Real-Time Units Gps Tracking

date_range 16/05/2020

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This project show how to broadcast, consume and plot GPS data in real-time. See the README.md on GitHub for details.

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How to contribute

date_range 17/04/2020

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Emergency services have for most of them limited data analytics ressources and a wide range of common data mining problems.

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