Student POST Database processing models showcase the logical s.docx

Student POST:
Database processing models showcase the logical structure of a
database. The most commonly used model is the Relational
database model that sorts the data in a table that consist of rows
and columns. The column holds the attributes of the entity and
rows hold the data of a particular instance of the entities. The
major advantage of the Relational model is that it is in the table
form and hence easier for users to understand, manage and work
with the data. And, with the primary key and foreign key
concepts, the data can be uniquely identified, stored in different
entities and retrieved effectively with the relationships. The
other advantage is that with the relational model, SQL language
can be used to work with the data which is simple to understand
and most widely used. The disadvantage of relational model
could be the financial cost that is higher in comparison as the
specific software needs to be in place and the regular
maintenance needs to be performed that requires highly skilled
manpower. And, the complexity of the database can be further
increased when the volume of the data keep in increasing. Also,
there is the limitation in the length of fields stored as different
data types in relational model (Joseph & Paul, 2009).
The other processing model is the Object-oriented model
that depicts database as the collection of objects. The advantage
of this model is that it is compatible to work with complex data
sets with the use of Object IDs and object-oriented
programming. It’s disadvantage is that object databases are not
commonly used and the complexity can hamper the performance
of database. The other type of database model is the Entity-
Relationship model which is mostly used for the conceptual
design of database. It pictures the entities, several attributes
that falls within the domain of that entity and the cardinality of
relationship between them. It’s advantage is that the E-R
diagram is easily understandable by the users at the first glance

and thus can effectively work with the data in no time and can
point out the discrepancies in the data. The other advantage is
that it can be easily converted to other models if required by the
business. The disadvantage of Entity-Relationship is that the
industry standard notations for the diagram is not defined and
thus can create confusion to the users. This model is only
suitable for high-level database design (S.J.D.,2020).
2Nd Student POST :
Database models or commonly referred to as schemas help
represent the structure of a database and its format which is run
by a DBMS. Database model uses vary depending on user
specifications.
Types of database models
1.
Network model
This network model uses a structure similar to that of a
hierarchical model. The model permits multiple parents, which
is a tree-like structure model. This model emphasizes two basic
concepts; records and sets. Records hold file hierarchy and sets
define the many-to-many relationship in records. Sets use
circular linked lists acting as data structures in which a record,
which is a parent for that matter appears once in a circle and a
child of that specific parent might appear more than once in
each circle (Gupta, 2021). Records in the network model
connect, maintaining a hierarchy in records. Access to data is
either sequential form or circular linked list pattern. Multiple
paths exist in accessing specific records.

A major advantage of this model is that it allows a relationship
of a many-to-many relationship, thus, there are multiple parents.
The model can handle several types of relationships and does
allows data independence. The network model contains
redundancy in the records leading to duplication of records in
the database model making it disadvantageous.
2.
Entity-relationship model
The Entity-Relationship Model represents the database as a
diagram called the Entity-Relationship Diagram (ERD). This
diagram is a blueprint that has two main components, a
relationship set, and an entity set. The entity-relationship
diagram represents relationships existing in the entity set. In
database management systems entity is taken for table and
attributes columns in a table, thus, an entity-relationship
diagram depicts the relationship among tables in a database.
Entities are considered as real-world things stored in a database
physically. Entity sets are assumed to be a group of the same
types of entities (Gyorödi et.al, 2015).
The advantages of using this model are; entities have attributes
that help to uniquely identify an entity. The model’s conceptual
framework is easy to understand, which has a better
representation of visuals. The model is also highly integrated
into the relational model. The model has several disadvantages;
it’s only common with high-level database designs. This model
has limited constraints and specifications. It has limited
relationship representation when compared to other models
3.
Hierarchical model
The hierarchical model stores data in a tree-like structure, a

root node does exist and data begins to be stored in it.
Maintenance of order is done while still storing is done by a
sort used for a sibling record. This model maintains a one-to-
many relation among data, a sequential technic in accessing
data by using pointers (Abiteboul & Hull, 1986)
The hierarchical model is useful in maintaining an information
management system. It is an easy database model to design
which supports data independence. The model has its
shortcomings too. The hierarchical model does not have the
capabilities of handling all database operations. To retrieve data
in the model takes more time compared to other database
models and records lack connection in the model.
3 Student Post:
Database models have often been recognizing as data structures,
and that they're then used to describe the database structure and
content that the database management system operates. The
database model describes the application's appearance and
functionality. Network structure, entity-relationship model,
hierarchical model, object-oriented model, and application
framework are some of the different types of database models.
These various database structures have distinct appearances and
procedures. The data can be stored in a tree-like framework
throughout the hierarchical model, with the tree's root in the
data has been processed. The category field is often used for
sibling histories to keep things function quicker while storing
the hierarchical system data (Abed, 2020).
Whenever a data management system is required, the
hierarchical network model has typically implemented. The
hierarchical network concept is generally applied if an
information management system has been considering. In

comparison to just the hierarchical model, the overall network
database schema does have a similar format. The tree-like
theoretical framework model supports many partnerships. It
implies that several sources are possible—collections and
documents used in the network structure. The documents
include files that can organize hierarchically and collections
that describe the document's several connections. The system
architecture for the group is a circular relational database. One
copy, which would be a parent, can appear just once in each
circle, and the child of such a group of specialists can make
appearance multiple times from each process. They have created
the relational database model to eliminate database management
dependencies. The relational database framework is being
developed primarily for microprocessor structures. Domains,
attributes, and connections are the three keys used during
database engine structures. A table with rows and columns has
used to describe the relationship (Radoev, 2017).
4th Student Post:
Traditional database models
A database is a gathering of data that are assembled in such a
way that can be managed, accessed and updated easily. Data
models define the logical structure of a modelled database.
There are various types of data models such as document model,
relational model, object-oriented database model, entity-
relationship model, hierarchical database model, network
model, entity-attribute-value model, star schema. These
databases mostly help the developers creating a successful
database system that would serve their purpose (Al-Fedaghi &
Makdessi, 2020). Traditional databases were developed to
handle transactions and keep relational records. The three
traditional models that help in modelling databases are the

relational model, the hierarchical model and the network model.
Therefore, they are discussed as follows:-
The Relational Model
The relational model is a type of database that includes the
collection of relations in the form of databases. A relation can
be defined as a table of values. A collection of related data
values is represented by every row in a table. In order to
become a better developer, one should understand the use of
relational models. It helps in enhancing skills instead of being
just an application code developer. When one knows how to use
the relational model effectively, it helps the application to run
more smoothly (Jansen, 2020). Simple model than any other
model:- It is the most simple model, as it does not require any
special querying or structuring processes. Accuracy In data:- In
relational database systems with the use of foreign and primary
key concepts there can be various tables that are related to one
another. Thus there is no chance of duplicate data. The
operation of a relational database system is machine
performance. If the number of tables in which the relationship is
being established is high, the performance in responding to the
SQL queries may be affected. The extraction of data from a
relational database model is slower as compared to the others.
The Hierarchical Database Model
It is a database model having a tree-like organized model. Those
data are stored and recorded that are connected to each other
through relations. It helps the developers in creating an
interlinked structure in defining many links in the table of
contents, real-world, nested and sorted information. Helps in
advancements:- It is helpful for the people who want
advancement in their career paths. Though it is not easy, it
provides a clear path to improve the concerning performance. It
helps in dividing the areas of concern into different

departmental structures. The database needs more time to match
its steps with the pace of the changes going on around. Thus the
dynamic industries generally do not prefer this database model.
Communication barrier the database model involves making
specialized departments, thus blocking the communication
between other departments as it allows only the members of the
same level to communicate (Sarker et al., 2020). A network
model is a flexible approach designed to denote objects and
their existence. It has several features such as its schema can be
reviewed as a graph where types of objects are nodes and types
of relationships are arcs. It helps the developers to more basic
connections with the types of relationship which is not possible
in the other database models. In comparison to other database
models the network model has easier methods of accessing data.
It has a connection between the parent and child segments as it
is dependent on the parent-child relationship. Functional
defects:- The introduction, updates and removal of the data
becomes more difficult because of the large number of pointers.
Incomplete flexibility the network cannot fulfil each and every
relation by assigning holder, although it is more flexible than
the other database model. Therefore, these traditional data
models have helped the developers create database models.
Although they have advantages and disadvantages of their own,
they have helped in the overall development and advancement
of the technological area.

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