A Survey on Graph Database Management Techniques for Huge Unstructured Data

Data analysis, data management, and big data play a major role in both social
and business perspective, in the last decade. Nowadays, the graph database is
the hottest and trending research topic. A graph database is preferred to deal
with the dynamic and complex relationships in connected data and offer
better results. Every data element is represented as a node. For example, in
social media site, a person is represented as a node, and its properties name,
age, likes, and dislikes, etc and the nodes are connected with the relationships
via edges. Use of graph database is expected to be beneficial in business, and
social networking sites that generate huge unstructured data as that Big Data
requires proper and efficient computational techniques to handle with. This
paper reviews the existing graph data computational techniques and the
research work, to offer the future research line up in graph database
management.