Transportation network in graph database
Track
Technologies & Solutions
Date and time
Monday, 10. October 2022., 11:30
Room
Hall D
Duration
45'
Modeling transportation tram network in the graph database. Finding all paths in the network. Finding optimal paths regarding duration, distance, and number of layovers. Avoiding loops. Query optimization and explanation. Performance and techniques of enriching and changing database structures with dynamic data when the transport network changes. Comparison of Neo4j graph database with PostgreSQL relational database in graph data storage and query performance. Demonstration on Zagreb tram network.
Lecture details
About speaker
Marijo Maračić, author
Marijo Maračić has been working in the IT for more than 14 years. From July 2007 until July 2013 he worked as a teaching assistant at FER, Zagreb, working with computer vision, biometrics, and pattern recognition. From 2014 until 2017 he has been working in IGEA, IN2 group, in the field of geographic information systems (GIS), implementing complex, metamodel based systems according to customer specifications and covering all areas of the development stack: database layer (PostgreSQL, SQL Server and Oracle), middle layer in Java (Spring) and client layer (Sencha Ext Js and Angular 2). From September of 2017 until April of 2022 he worked in CROZ, mostly in the field of telecommunications implementing microservice architectures and microservices in Spring Boot, using Kafka as message channel. From April 2022 he works in Five in the shipping sector implementing and designing frontend in React and backend microservices that generate shipping routes in Spring Boot.
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