Loading…
  • Sessions appear in the color of their primary track
  • Sessions can be filtered using Products on the right
  • Use the Search bar for more flexibility
See this link for hints on how to search the schedule or sign up for sessions
Back To Schedule
Wednesday, March 21 • 11:10am - 11:35am
Graph Modeling and Analysis for Complex Automotive Data Management
Feedback form is now closed.
Mazda is an automotive manufacturer that routinely needs to link and analyze data from different sources like production, sales, inventory, and logistics. Most manufacturers use a bill of materials (BoM) to provide a master system for parts and their relationships. However, BoM developers have long realized the difficulties of modeling the complex relationships between components using a RDBMS. Moreover, BoM data must also align with master (or transaction) data from disparate IT systems. This paper highlights a novel approach to apply a graph database to create a flexible BoM of interconnected auto components. This system uses the property graph database and in-memory analytics in Oracle Spatial and Graph. We found the graph data model to be more effective at modeling, querying, and visualizing complex relationships in our data, while also integrating with different production systems. We will also share performance results of complicated pattern matching queries using PGQL._x000D_
_x000D_
_x000D_
_x000D_

Speakers
MY

Masahiro Yoshioka

Principal Engineer, Mazda Motor Corporation
Yoshioka Masahiro is currently responsible for evaluating and implementing advanced technologies in IT at Mazda Motor Corporation, Hiroshima, Japan. He and his team are currently focused on technologies in Big Data & AI – to identify opportunities to apply those technologies to... Read More →


Wednesday March 21, 2018 11:10am - 11:35am PDT
3-Rm 103