Graph Data Warehouse: Steps to Integrating Graph Databases into the Traditional Conceptual Structure of a Data Warehouse

As an important kind of NOSQL databases, graph database management systems (GDBMSs) have improved greatly in recent years. However, the development of related linked queries is still limited. This paper introduces an approach for matching frequently-used management tasks of GDBMS with concepts in Structured Query Language (SQL). An application programming interface (API) based on the Neo4j GDBMS was developed to enable functionalities needed with graph databases. Besides the API, a user-friendly graphical user interface (GUI) was developed enabling the management and demonstration of graph datasets. Further, the concept "graph cube" is proposed as a design for integrating graphs with tables. The prototype combining these components constitutes the fundamental elements of a graph data warehouse. The proposed research initiates an effort to develop the potential of graph information systems (GRIS) and to define associated technical aspects.