Analytics Consultant and Instructor
This session will include a moderated Q&A featuring questions from the live audience.
Graph databases share some technical characteristics with other NoSQL databases, but they offer a very important key differentiator: their overarching data model is based on a graph structure. Graphs are models of networks. They can be used to represent interesting properties of the real world. This capability creates opportunities for unique analytics solutions that would be difficult or impossible when using other types of data structures.
Networks describe how things flow, how things are structured, and how things interact with each other. For example, a supply chain is a network that supports the flow of information, material, products, and funds. Its structure can be analyzed and optimized to reduce single points of failure. The interactions of different companies, equipment, facilities, locations, and currencies can be analyzed and optimized to increase capacity and reduce delays.
In this session, Mark Peco will introduce graph data management and discuss how it enables analytics solutions for a wide range of business problems by:
- Analyzing how things flow through a process or network
- Understanding the structure of a network to identify areas of risk
- Analyzing the capacity of a network to determine how to reduce congestion and delays
- Determining how items in a network interact with others to minimize disruptions