Proceedings of the Fourth International Workshop

Running head: DATABASE SYSTEM
DATABASE SYSTEM
Name of the Student
Name of the University
Author Note

DATABASE SYSTEM1
Table of Contents
Part A: Database research:.........................................................................................................2
Part B: Data Modelling:.............................................................................................................4
References:.................................................................................................................................5

DATABASE SYSTEM2
Part A: Database research:
A graph database is one type of database management system that is designed to treat
the connection between data, and the data is equally important to itself. The graph database
follows a graph model. A group of nodes called graph and edges connect it. Every node
contains information about the graph. Nowadays, the world is connected to everything
(Pokorný, 2016). There is no Inaccessible information available around us. A graph database
can process, store and use queries efficiently. Other relational database uses a time-
consuming method like join but graph database uses the data model that is more fast and
secure. Using relationships and nodes in the graph database can reduce the data retrieval time
and this the most efficient way for the data retrieval process. By using this method, the user
can fetch millions of data quickly. A large dataset is manageable with a graph database
(Labouseur et al., 2015). With the help of patterns and nodes graph database can explore the
data and aggregating information from the relationship and nodes. In the property graph
model, data is most organized like nodes, properties and relationships. A graph database is
one type of NoSQL. This database is helpful because it can highlight the relationship between
data.
JOIN operation, and foreign key is not required in this database. The graph database
mostly focused on the relationship. The result of using a relationship, it can increase the
flexibility, enhanced agility and traversal capabilities. A popular application like social
media, forensic analysis and fraud detection use the graph database to process rich datasets.
By using a graph database, reduce the latency in reading, create, delete and update (Ghrab et
al., 2016).
Relationship: In the graph, a database relationship provides the two-node connections. Every
relationship must have a direction, start node, end node and a type. Relationships can contain