There are many aspects of data management that depend upon the utility of graph databases. Unfortunately, users are still unclear as to their full benefit. Graph databases first gained prominence with social media and facets of sentiment analysis and then gained street cred by provisioning ‘360 degree views’ of customer and product information in master data management (MDM) systems. DATAVERSITY brought this news to us in their article, “Applying Graph Databases and Semantic Technologies to Big Data.”
In computing, a graph database is a database that uses graph structures for semantic queries with nodes, edges and properties to represent and store data. Most graph databases are NoSQL in nature and store their data in a key-value store or document-oriented database.
Today, semantic graphs are expanding the utility of data lakes in a sustainable manner. The true potential of semantic graphs is realized in linking the entire information assets of an organization for comprehensive analytics of overall internal data as well as public data and third-party data.
Melody K. Smith
Sponsored by Access Innovations, the world leader in indexing and making content findable.
