As graph analytics and knowledge management solutions proliferate, this article overviews what is required to architect a graph-based solution for enterprise data.

Towards Data Science is a community-powered publication that showcases work in data science, machine learning and artificial intelligence. Every day newcomers, seasoned researchers and industry practitioners publish tutorials, research notes and real-world case studies that help the field move forward.

Towards Data Science

Graphs represent relationships and connections in data, making them powerful tools for analysis. A great graph has a clear purpose, is domain-specific, and has a well-defined schema. Successful implementation requires mechanisms for connecting datasets, scalability, and handling temporality. Designing a robust graph-based solution involves clear engineering practices and experienced graph data engineers.

What It Takes to Build a Great Graph

Knowledge representation in a networked world