Graph database is revolutionizing the ability of organizations to find relationships between large data sets. However, most of today’s data is still in relational database format and as data sets continue to grow, finding relationships in the relational database format is a challenge. So, how can organizations take advantage of what graph databases have to offer?
The solution, according to Steven Yang of TIBCO, is to map data from a relational database to a graph database by converting the relational representation from one database to another, from table structure to graph structure. More specifically, to use the foreign keys of relational data model to build edges, thus transforming loosely coupled data records into a highly bounded group of nodes, which form the basis of graph database architecture.
Click here to read a solution brief on how to find and build the right edges in a graph when moving data from a relational database to a graph database.
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