Postgraduate potential Applicants on Data Analysis using (AWS) Serverless Cloud Technology

Postgraduate potential Applicants on Data
Analysis using (AWS) Server less Cloud
Technology
1

ABSTRACT
It has summarised about the unprecedented growth of information or data whether they are
centralised of oncoming for handling huge data set through relational database management
system. The project has concerned about the big data technology such as Amazon web server,
which are collecting or gathering large amount of data on cloud server. In order to increasing the
storage processing of enterprise and also derived the value from using big data analytics.
However, it has rapidly changing the demand of enterprise in global marketplace, because it has
automatically flowing large data or information. Therefore, it obvious to bring new challenges
but it could be managed or handled by analytical tool or platform. Afterwards, it has planned or
selected an appropriate architecture to storage of infrastructure, processing and visualize in
proper manner.
2

Contents
ABSTRACT....................................................................................................................................2
CHAPTER-1 INTRODUCTION.....................................................................................................4
CHAPTER-2 LITERATURE REVIEW AND THEORETHICAL BACK GROUND..................6
CHAPTER-3 METHODOLOGY, TECHNOLOGY AND OUTCOME......................................18
CHAPTER-4 DESIGN, IMPLEMENTATION AND TESTING.................................................24
CHAPTER-5 CONCLUSION AND RECOMMENDATION......................................................40
REFERENCES..............................................................................................................................42
3

CHAPTER-1 INTRODUCTION
Data analysis is based on the process or method which mainly consider for purpose of
analytics. Sometimes, it is composed with process which help for performed different
functionality (Trudgian and Mirzaei, 2012). Data analytics is a practice concerned about the
entire business because this process will help for managing and controlling behaviour or data
generated by different activities.
In this report, it will be concerned about the different functions that performed by Data
analytical technology such as Amazon web service. Furthermore, it is a proper modelling of
information or data. The project will help for identifying the specific rate of potential applicants
on analysis the data by using server less cloud technology.
Aim
Aims to provide a solution on a data analytics dashboard that universities can use to
predict and analyse the behaviour of postgraduate applicant by gathering dataset from different
organisations such UCAS, HESA and Universities and integrate with non-relation architecture.
Back ground
Big data is based on the modern technology in term of data analytics. It consists of large
amount of information or data. Therefore, it is able to collect, store or maintain the data and then
processing software. Initially, it has identified the various type of challenges factors that always
support for collecting data and also sharing files between one or more devices. Through big data
technology, it can easily modify, structure and maintain the specific privacy or security aspects.
This modern technology will support for involving the all unstructured or structure data but
arranging through big data into structure format.
Server less technology is mainly used for identifying the potential applicants which
always supports for maintain the scalability and flexibility in data management. AWS is consider
an appropriate server less technology that applicable in the different organizations. Furthermore,
server less technology will be performed the process and also represented through use cases.
AWS can be used the effective components in achieving the accurate result or technology
(Backes and et al., 2019). Generally, this technology has been considered the Python
programming language. By using server less technology, it has been reducing the risk, threat
4

within data management in order to maintain a proper security as well as privacy. Furthermore,
different organizations that has been adopted the data protection regulation (GDPR) which
always help for providing the better way to strengthening all essential provision in regards of
information.
Problem statement
The problem has been occurred when government introduced new PG loan in 2016. Its
primary aim is to influence or encourage towards the postgraduate enrolment number. In order to
show the evidence in regards of domestic recruitment. On the other hand, it has identified the
universities face issue because they are able to follow the proper threat within postgraduate
applicants (BaiJhaney and Wells, 2019). Therefore, it is very difficult for managing the large
amount of data in regarding the recruitment. That’s why, universities are planning to use server
less modern technology which always supports for analysis large amount of data or information.
Course leader
The research project is mainly focused on the improve the necessary requirement for
business so that it should be identified the problem at different level. The majority is that when
overseas applications but they do not materialize. The problem has been occurred when receiving
the application throughout the years. It would be better for considering the offer on the basis
annually. When resolved the problem so that overseas application and also accumulate the
multiple application in order to create the attention at the time of advertisement.
Objective
 To build a data analytics visual environment to predict postgraduate applicants based on
previous data that can be used for management decision-making.
 Using algorithm analysis to understand the demographics of applicants and
recommendations on where to focus on recruitment and advertisement for postgraduate
applicants.
 Review best Technologies AWS platform or tools and infrastructure to use for data
analytics.
 To develop postgraduate recruiting dashboard to collect, transform, store, and process
data streaming using latest technologies Amazon web server.
5

 To build non-relational architecture on a real-time predictive analytics system to identify
the applicants before they become a student using previous data statistics.
 Integrate data between the various system and store data on cloud system for processing
and streaming.
 The aim is to develop a dashboard for universities to predict student’s behaviors on real
time to allow management teams to make effective decisions based on those insights.
 Develop and design data Analytics dashboard on cloud service environment using a cloud
company such as Amazon Web Service or Azure platform.
Research questions
 What are different type of data analytical tool or platform used?
 What do you understand concept of AWS modern technology?
 What are advantage and disadvantage of server less technology in organization?
 What is the relationship between data analytics and predicting the potential applicants?
CHAPTER-2 LITERATURE REVIEW AND THEORETHICAL BACK
GROUND
Theme: 1 cloud computing
Church, Schmidt and Ajayi (2020) Cloud computing is based in the on-demand
availability of service from different application to storage and processing power, especially used
for data storage without establishing the direct management by user. It is the most effective
conceptual innovation in which describing the data centers available to different users over
internet. Moreover, Cloud computing service is mainly covered wide range of options which
always giving the basic storage, networking and process by using natural language processing.
There are various fundamental concept behind the cloud computing. It is mainly storage data
from particular location of service. Many other detail includes as operating system, hardware. In
this way, it become easier for running the entire cloud services in proper manner. Universities or
educational institution also focused on adopting the cloud computing service. This will provide
the better way to manage or store large amount of data. It is very effective in term of security or
privacy so that large number of institution create their own cloud environment.
6

Over the past decade, it has been concluded that interest in adoption of cloud computing
within organization. It always supports for promises the potential to reshape the different way of
acquire or manage need for different efficient resources. In particularly, the line with notion of
different shared services so that cloud computing is consider as innovative model in term of IT
infrastructure. Usually, it enabled to focus on the specific core requirement of enterprise
activities. Thus, it support for increasing the productivity as well as profitability in global
marketplace. The adoption of cloud computing means that automatically improve the simplicity,
scalability and flexibility. Afterwards, it provide the better offers to increase demand of cloud
computing in global marketplace. In recently, it has been reported that 76% of large corporation
are adopting the cloud services whereas 60% of SME are also adopting cloud computing.
Moghaddam (2020) there are lot of definition of cloud computing that has been relevant
to the AWS technology. In order to provide the efficient IT sourcing model for improving the
performance of enterprise application on regular basis. it became wider as internet based service
offering while comprised large amount data storage, hosting network infrastructure. Moreover, it
also added the cloud service consumer which despite that there might be offering better services.
Usually, it is depending the enterprise need and requirement whereas considerable as Saas. It
help for improve the capability of consumer when they can enterprise applications. These are
running on the cloud infrastructure and performed the multiple task.
The cloud service model has deployed in term of different private cloud whereas it
provision for exclusive use by enterprise, which also comprising the multiple clients. By using
cloud computing platform, enterprise may be managed, owned and operated with effectively. On
the other hand, community cloud, where it applicable within infrastructure that provisioned for
exclusive used by single community. In this way, different enterprise should be adopting the
cloud infrastructure and provide the service in different manner. Large Corporation have a
specific slack resources in context of both technical as well as financial manner. It also becoming
affordable to easily deploy the private SaaS, IaaS and PaaS.
7

Theme: 2 Analysis
As mentioned in the context of literature summary of report in this paper, which is known
as analysis. The author may describe about how individual people understand the concept of
cloud computing. Sometimes, it has become consider as source of targeting the large number of
organizations. For instance, it also analysed the individual opinion or view point in term of data
mining. The business decision has considered one of the strongest strategic overview, which
always helping the decision development (Buure, 2020). When SME have focused on the
adopting the innovation in the business so that they can identify the opinion about data mining of
individual people. Implicit way to gain the demand, trends and insight, covering the new
opportunities from various perspectives.
In order to achieve the specific goal and objective in relevant to the data mining. Initially,
it is important for predicting the behaviour when it can use an appropriate algorithms. In
particular areas which required to relate with different algorithms which called as computing
thinking. As per considerable as computational thinking algorithms that will help for using in
project. For purpose of applying the abstraction, algorithmic thinking to resolve the problem in
regards of data application problem or issue.
In context of supervised learning, user may define the specific set of input and always
expected the accurate outcome. That’s why, they must adopt the effective computational
algorithm. Therefore, computer may have learned about the specific input which automatically
convert into reproduce the outputs. The supervised learning that will be identified to achieve the
analysis process. Initially, it is mainly focused on the determined features, labels in concept of
large datasets (Ochara, 2020). Moreover, it has determined the sentiments scores which are given
in the text format. Afterwards, it will be assigned the specific score value, which carried the
positive or meaning result. Furthermore, Machine learning process always compute that generate
both negative as well as positive result. Therefore, it is helping to achieve the supervised learning
need or requirement. Usually, there are lot of features that must be categorised into data type.
Each and every character that show unique value so that machine will unable to interpret in step
by step manner. In machine learning, the feature may need to be converted into different vectors
on the basis of requirement. Afterwards, machine can easily compute.
8