Graph all the things
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This document discusses using graph databases to model relationships between data. It provides examples of using a graph database called Neo4j to model relationships between people and groups they belong to. It also discusses how a graph database can be used to model the complex relationships between wolves, other animals, and how their interactions affect river stability by following paths in the graph.
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This source of decision making will not be your old-school MDM data cemetery, but a flexible instrument that you can use, reuse, discard and recreate for different goals and purposes.
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For non-technical users a variety of tools and toolkits are available that use the inherent structures and meta information of the graph (labels, types, relationships and properties) to provide visual or natural language interaction to drill down, look at interesting facets, connect and correlate interesting information.
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Get to know the basics of graph databases, using Neo4j as an example, and see how it is used C# projects.
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