Research and Data Modelling Report1

Running head: Assessment item 2 - Research and Data Modelling
Assessment item 2 - Research and Data Modelling
Name of the Student
Name of the University
Author Note

Assessment item 2 - Research and Data Modelling 1
Table of Contents
Introduction:...............................................................................................................................2
Graph databases:........................................................................................................................2
Reason behind the need:.............................................................................................................2
Developments:............................................................................................................................3
Conclusion:................................................................................................................................3
References:.................................................................................................................................5

Assessment item 2 - Research and Data Modelling 2
Task 1
Introduction:
The purpose of this paper is to discuss about the graph databases. The paper will
explore the topics of graph databases. The report will also discuss what they are, what the
reason for their need is, and some recent developments that are happening in the area.
Graph databases:
The graph databases are basically the NoSQL databases that utilize the model of
graph data that are comprised of the vertices that is an entity like a place, person, object or
some relevant pieces of edges and data that is having the capability to represent the relation
between 2 nodes (Hall, Murray & Verdonk, 2017). The graph technology is actually a rising
tide to the development team as well as to the business that can not afford for passing up. The
graph databases are the future as well as for a beginner it will be easy to learn.
Reason behind the need:
The graph databases are very much helpful as they can highlight the links as well as
the relationship that is between the data similarity that are relevant. The graph paradigms are
going beyond development of the application and databases. This is a reimagining of the
possible connections that are related to the idea. The reason behind the need of graph
databases are as follows:
Performance: The volume of data will increase in the future definitely. However, what is
going to increase between the data. The big data can get bigger however the data that are
connected can grow exponentially (Ezhilchelvan et al., 2018). With the help of the traditional
databases, the relation-ship queries that come for a grinding halt as the depth and number of
the relationship that are increasing.