Big Data Challenges in Iot and Cloud Research Paper 2022

Running head: Big data challenges in IoT and cloud
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Big data
Challeng
es in IoT
and
Cloud
Paper
Student name

Big data challenges in IoT and cloud 1
Big data challenges in IoT and cloud
Student Name – Student ID
Masters in IT – Networking
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ABSTRACT – Big data (BD) is helpful in data collection, integration, and transformation from the various
devices, such as IoT devices, databases, and many other things. In addition, IoT and cloud provide various
advantages in the management of business processes and data analytics. This paper will discuss about the
challenges of big data because of cloud and IoT. This paper will focus on the challenges of BD in collaboration
with the cloud and IoT. In addition, integration between cloud and BD is necessary to improve the
performance of data analytics and business functions. It is important to know about the challenges of BD in
cloud and IoT to implement it in a proper manner. This paper will mainly focus on the connection between
BD and IoT devices and cloud-based services. There are some technical and non-technical issues in the
integration. The main challenge of BD is data analysis, which can solve using various techniques of cloud
computing and cognitive algorithms as well as Artificial Intelligence (AI), machine learning, and other
systems. This paper will focus on the security and privacy challenges in front of BD in IoT and cloud. There
are some important benefits of BD will provide in this paper, which are helpful in the data analysis processes.
BD has provided data collection and management to the particular organization. Therefore, it is necessary to
manage the data and information in a proper way. It will improve the performance of the overall system. The
BD has faced challenges in the IoT applications and its integration. This paper will include different
platforms of data collection and management, which are SQL/NoSQL, OLTP, OLAP, and persistent data. It
will provide better results to improve the data analysis process of BD in IoT and cloud. Moreover, security
and privacy issues will solved in a proper manner using this approach of data collection and integration.
Keywords— big data, IoT, cloud, etc.
1. INTRODUCTION
BD provides many advantages to many industries. It
faces various challenges in Internet-of-Things (IoT), and
cloud.in addition, there are various benefits of the IoT
and Cloud Computing (CC) in the business processes of
an organization as well as many social works. In
addition, BD has used for many purposes in various
industries to improve their performance. In addition, this
paper will discuss about the BD challenges in IoT and
cloud. It will explain the role of BD in the IoT and cloud
with its benefits and drawbacks.
This paper will discuss about the various things,
which can help in the improvement of performance of
various business processes. It will provide details about
the technical issues and challenges of BD in detail. This
paper will describe about the relationship between BD,
IoT, and cloud. This paper will analyze all the things
based on the various analysis and comparisons as well as
contrast.
2. BACKGROUND/LITERATURE REVIEW
2.1 Big data relationship with IoT and cloud
The BD is a base of all the systems, as it provides
various services to upper-level technologies and
applications of various information systems. There are
many advantages of BD in the management of various
things in a proper manner. BD and IoT have a
relationship because it is necessary to manage data
collection and data management (SUN, SONG, JARA, &
BIE, 2016). There are various impacts of BD on data
collection from various IoT devices. Those data have
used for the business analytics and other reporting
(ARESS, 2019).
All the things are properly managed using BD and
other things. In addition, there are many critical issues in
front of BD with the integration of cloud and IoT. There
is some important factor of BD, which has depended on
the cloud and IoT. Besides, transformation of data from

Big data challenges in IoT and cloud 2
IoT devices and other benefits of data analytics and
business analytics on the business processes (BAESENS,
BAPNA, MARSDEN, VANTHIENEN, & ZHAO, 2016).
2.2 Role of integration between IoT application and
BD
Moreover, BD has used in the planning and
implementation of smart cities and other urban planning
(Batty, 2013). It has used for the management of a large
amount of data and information, which has collected
from various data sources, such as databases, open files,
IoT devices, transactional data and many other sources
(Ranjan, 2014). It makes huge impact on the business
processes of an organization (Mohapatra, Paikaray, &
Samal, 2015).
There are some important factors of data collection
and improvement in integration of processes, which
makes a huge impact on the operational processes of IoT
and cloud. All these things are necessary to improve the
processes of data analysis and project management. IoT
applications have used for the data generation and
optimization process (Rathore, Ahmad, Paul, & Rho,
2016). Therefore, it is necessary to improve the
relationship between BD and cloud with the IoT. It will
improve the process of data collection (Ray & Trovati,
2018).
There are three parts of the cloud, which are SaaS,
PaaS, and IaaS. In addition, service-as-a-service has
used for the users, which provides applications, data
storage, and other services to the end-user for their
particular work. Platform-as-a-Service has provided
different things for the application developers, such as
Operating systems and application servers as well as
stack network. It has provided many benefits to the
companies in their business functions. Infrastructure-as-
a-service has used for the IT infrastructure and network.
It is the main purpose of the IaaS to provide all the
services and manage them using proper server
configuration.
There is some basic need for the IoT and Cloud,
which provides help in the data analysis and business
analytics. However, there are various emerging
technologies has used for the integration of data and
other processes. BD has used for the reduction of
various things (Bou-Harb, Debbabi, & Assi, 2016).
BD has used in various fields. In case of sports, it has
provided better results and it is helpful for sportsman to
improve the performance and accuracy (Brousell, 2014).
In addition, it has provided high level of input to
improve the things, which can provide better results for
a sportsman (Brown, 2017).
Business Intelligence (BI) has dependent on the BD
and its processes, as data analytics has based on the data
and its significance in the analysis (Chen, Chiang, &
Storey, 2012). Data warehouse and BD have interlinked
with each other and it is necessary to help the main
objective of the BD, which is data analysis (Chowdhury,
2014). BD should have basic processes to improve the
data collection process. It makes huge impact on the
data and business analytics. It is also beneficial for the
privacy and security of data. There are some important
concepts of data collection, which must use in the
particular field and application to manage all the issues
and challenges (Clark, 2018).
BD has managed a large amount of data, which is
necessary for the data analysis and business intelligence
(Cuzzocrea, 2014). In addition, there are some
cybersecurity issues in the databases and other things.
BD has provided security to the data collection
(Datameer, 2018).