Data is the new oil and a sound data strategy represents a mature enterprise culture of its data, architecture, and processes. Therefore, choosing the right data strategy for your use cases is critical for the success of your organization. It influences all data (and business) decisions, prevents unnecessary disruption, aligns data and IT infrastructure with the business requirements, and enables an efficient workflow of data among your applications.
In this white paper, we will help you understand one of the most prominent data models of the current times – the graph data model, specifically the RDF and Property Graph data models. In order to support analytical operations, connect isolated data sources (aka data silos) and enrich your underlying data with domain context, understanding and leveraging a Knowledge Graph is key.
Download this white paper to:
- Get familiarized with the concept of graph data models such as RDF and Property Graphs (PG), web semantics, ontology, and a Knowledge Graph.
- Understand the key differences between the RDF and PG data models
- Reflect upon the reasons and suitable use cases where adopting a graph data model is advantageous compared to or in addition to a traditional relational database approach