BIG DATA SPATIAL MODELS FOR TEMPORAL GRAPH DATABASES SPATIAL QUERIES
Exciting news! Our recent IEEE publication, “Modelling Reoccurrence of Events in an Event-Based Graph Database for Asset Management,” explores efficient ways to handle recurring maintenance events in asset management.
We introduce three temporal graph data models, assessing their performance on synthetic datasets. The findings highlight the second model’s efficiency with smaller datasets and the third model’s prowess with big data scenarios.
These models go beyond asset management, providing a foundation for event-based data management using graph databases. Dive into the full paper for insights into optimizing asset maintenance and more!
#GraphDatabases #AssetManagement #IEEEPublication #DataModels #ResearchInsights
Link: https://ieeexplore.ieee.org/document/10284664
