Analytics Consultant and Instructor
Graph databases, while sharing similarities with other NoSQL databases, have a unique data model based on a graph structure. This allows for the representation of networks and the analysis of their properties, creating opportunities for innovative analytics solutions that would be difficult or impossible to achieve with other data structures.
Networks, such as supply chains, can be analyzed and optimized for reduced risk and increased capacity by understanding how things flow, the structure of the network, and how items within the network interact. In this session, Mark Peco will discuss how graph data management can enable solutions for a wide range of business problems, including identifying areas of risk, reducing congestion and delays, and minimizing disruptions. Peco will also discuss whether graph databases can help to future-proof data management.