logo

Database Systems | Graph Study

   

Added on  2022-09-01

6 Pages802 Words19 Views
 | 
 | 
 | 
Running head: DATABASE SYSTEMS
DATABASE SYSTEMS
Name of student
Name of university
Author’s note:
Database Systems | Graph Study_1

1
DATABASE SYSTEMS
Table of Contents
Introduction....................................................................................................................2
Discussion......................................................................................................................2
Importance of graph database....................................................................................2
ERD................................................................................................................................3
Conclusion......................................................................................................................4
References......................................................................................................................5
Database Systems | Graph Study_2

2
DATABASE SYSTEMS
Introduction
In the field of computing, graph database could be described as the database that
utilises the graph structures for the semantic queries with edges, nodes as well as properties
for representing as well as storing data. The crucial concept of system is graph. The graph
mainly relates all the data items in store for the collection of edges as well as nodes, where
the edges mainly represents relationships among the nodes. This report intends to discuss the
graph database and the importance of graph database in the modern times. Lastly, this report
concludes with an appropriate conclusion.
Discussion
Graph database also referred as the graph oriented database, could be described as the
graph oriented database that is the kind of NoSQL database that utilises the graph theory for
storing, mapping as well as querying the relationships. The graph database is mainly the
collection of various edges as well as nodes. Each of the nodes represents entity as well as
each of the edges determines the connection or the relationship among the two nodes. Every
nodes in the graph database could be defined using unique identifier, which is the set of
outgoing edges as well as incoming edges as well as the set of properties that is expressed as
the pairs of key/value. Each of the edges could be defined by any unique identifier, which is
the starting place as well as ending node as well as the set of accurate properties.
Importance of graph database
Conventionally, the data is stored in as well as accessed from the relational models as
well as the databases (Fabregat et al., 2018). These kinds of systems, moreover, uses the
fairly fixed schemas and have not been designed for handling any complex relationships that
are present in the databases of the present times. It has been observed that the relationships
are not queryable or traversable. This requirement of efficiently processing as well as storing
Database Systems | Graph Study_3

End of preview

Want to access all the pages? Upload your documents or become a member.

Related Documents
THE GRAPH DATA BASES
|7
|847
|13

Introduction to Graph Databases
|8
|1873
|13

Study on Graph Databases | Assignment
|6
|709
|29

Big Data – Properties and Uses of Graph Databases
|4
|477
|78

NoSQL Database Systems
|4
|768
|27

Proceedings of the Fourth International Workshop
|6
|789
|14