Analysis of Big Data Applications for Internet of Things Report

This report analyzes the application of Big Data in the Internet of Things (IoT), focusing on the challenges and opportunities presented by this intersection. The report begins with an abstract summarizing the key findings and aims to discuss the current challenges and applications of the emerging technology. It includes a literature review that examines the impact of Big Data analytics in various IoT domains, such as healthcare, transportation, smart cities, and agriculture. The report critically evaluates a research paper, discussing the researcher's methodology, key findings, and comparison of emerging themes. The analysis covers the Big Data lifecycle, including data extraction, preprocessing, processing, analysis, and visualization. It also explores the application of Big Data in several IoT domains, including robotics and smart cities. The conclusion summarizes the key aspects of the research paper and the integrated application of Big Data and IoT, emphasizing the importance of data analytics and cloud storage in enhancing decision-making processes and improving services across various industries. The report highlights the effectiveness of the research paper in elaborating the aspects of the nominated topic.

Running head: REPORT ON BIG DATA FOR INTERNET OF THINGS
REPORT
ON
BIG DATA FOR INTERNET OF THINGS
Name of the Student
Name of the University
Author Note:

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Abstract:
Considering the rapid growth of the application of big data and the application of
internet of things it has been noticed that both of these identified technologies has significant
impact on the betterment of the decision making approaches as well as in the field of internet
of things. Followed by this aspect this paper has focused on investigating the application of
the Big Data analytics in the field of internet of things (IoT). In order to support the
mentioned discussion this paper is consist of an effective critical evaluation of research paper
based on this topic, which has significantly provided a detail knowledge on the impact of
Bigdata in operations of IoT.

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Introduction:
The aim of this report it to discuss about the aspect of the internet network in order to
determine the current challenges and the other applications of the emerging technology.
Followed by the above mentioned objective this paper has significantly focused on the
application of BigData in Internet of things. In order to support the above discussion this
paper will consist a detail elaboration of a research paper based in the nominated topic, with
respect to the form of literature review as well as the critical evaluation of the study.
Followed by these aspect while analyzing the nominated paper it has been noticed that the
researcher has effectively elaborated the nominated topic by comparing it with several fields
with the purpose to determine the effectiveness of the application of BigData on Internet of
Things. Considering the above aspect this paper will then conclude by stating the summary as
well as the key findings of the nominated research paper.
Literature review:
Followed by the objective to analyze the application of Bigdata for internet of things
it has been noticed that the nominated research paper it has effectively focused on the
application of the IoT domain and Bigdata. Considering the above discussion it has been
noticed that considering the current growth of the IoT and bigdata analytics, it can be stated
that these two technologies holds significant impact on the improving the decision making
process as well as the operational services on several major fields which includes the
healthcare industry, building automation, transportation field, energy efficiency management
as well as developing an advance smart city development. Followed by this aspect it has been
noticed that internet of things holds a significant impact on the healthcare industry as it is
observed that due to the incorporation of the internet of things in healthcare field helps to
gather the information related to the nominated industry as well as analyzes the gathered
information with the purpose to provide more effectiveness in the services of healthcare

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industry. Considering this aspect it has been noticed that as a resultant of the application of
internet of things in the healthcare industry enable the feature to effectively monitoring, the
patients data, medicine records, medical devices as well as other related information followed
by which it will offers more customized and effective services to the users.
Along with the above application it has been also noticed that in the transportation
industry there is huge application of IoT as it has been determined from the research paper
that due to the application of the nominated technologies there is a significant growth of
traffic control, remote traffic control system as well anomaly detection. Followed by this the
application of IoT and bigdata in the military, smart cities as well as in the agriculture field is
also effective. Considering the above mentioned application of internet of things in several
effective fields a detail investigation on the domain of IoT from the field of bigdata has
provided the knowledge that while applying the nominated technologies there is huge
necessity of cloud storage with the purpose to store the bid data. Followed by this aspect it
has been noticed that in the application of internet of things it has been noticed that there is a
huge necessity of data analytics as well which will effectively enhance the decision making
process which will improve the services of the technologies. According to the research paper
it has been noticed that the application of internet of things has effectively improved the
technical advancement of 13% for the smart cities, 25% in the healthcare industry as well as
9% in the agriculture field.
After the above investigation it has been noticed that the role of bigdata analytics
holds a significant impact on the betterment of the application of Internet of things. Since, it
has been noticed that Bigdata is nothing but a large set of data which consist structured as
well as the unstructured data, followed by this aspect it has been also noticed that data
analytics stands for analyzing the large set of data followed by which it will help to determine
the result for specific aspect. However, in the application of IoT big data it has been

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determined that using the analytic tools like spark or hadoop Mapreduce it analyses the data
with the purpose to generate desired report from the data set. Following the above mentioned
aspect it has been also noticed that there the application of bigdata and internet of things
helps each other with the purpose to enhance bigdata capabilities with the purpose to improve
the decision making process. Considering the above features it has been noticed that IoT big
data analytics enables the feature to examine the data, detect new information, and determine
unseen pattern as well as it helps to determine new trends.
Critical Analysis:
With respect to the above discussion a critical evaluation on the nominated research
paper it mentioned below which will significantly elaborate how the researcher has conducted
the research, what are the key findings as well as it will also include a comparison of the
emerging themes which is significantly impacting the aspect of nominating topic.
While analyzing the selected research paper it has been noticed that the researcher has
mainly focused on the identifying the how the features of bigdata helps the application of
internet of things in the field of healthcare industry, transportation filed as well as in the field
of military. Followed by elaborating the above mentioned aspects this paper has effectively
elaborated the how the application of Bigdata IoT has impacted the daily activities by making
it more customizable as well as by making it more effective. After completion of the above
mentioned discussion it has then broadly elaborated the detail of bigdata life cycle in which it
has explained that in the application of bigdata there are several significant steps present
while processing any large set of data. All of the step includes the data extraction part in
which it extracts the data from the desired resources followed by which it will then proceed
for the information loading phase and information preprocessing phase which consist the
initial arrangements of the extracted data with the purpose to analyze. After completion of the

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above step it will then proceed for the data processing phase in which it will process the data
followed by which the data analysis process will gets started, later it will then load the data
and send it for the data visualization. Along with elaborating the steps present in the bigdata
analysis it has been also noticed that in this researcher has mentioned that the steps of bigdata
analysis is nothing but the process of data collection, classification of data, analysis of the
collected raw data and lastly, the retrieval of the extracted data with the purpose to extract the
proceed data for decision making approach. Followed by mentioning the bigdata life cycle it
has also consist a detail elaboration of the key terms present in the features and functionalities
of the bigdata analysis with respect of its frequency of appearance. Along with the above
discussion this paper has also elaborated the aspect of bigdata application into several IoT
domains which includes the enhancement in the robotics as well as in the development of the
smart cities. Followed by this it has then described the application of the IoT domain with
respect to the bigdata features based on several significant research quires which includes the
storage capabilities, data cleansing, analysis, data visualization as well as other data analysis
aspects. Along with describing the above mentioned aspects it has also included the necessary
frame works in order to enhance their services with the application of IoT and Bigdata. Those
identified industries includes the healthcare industry, energy efficiency, building automation,
transportation field, Smart cities, military as well as in the agriculture field.
Conclusion:
After successfully completing the above discussion it can be concluded that this paper
has effectively analyzed the nominated research paper which has primarily focused on the
integrated application of bigdata and IoT in most of the frequently used industries which
includes the military, healthcare industry, agriculture field, transportation field as well as in
developing smart cities. Followed by the discussion of the above mentioned aspect the
selected research paper has also elaborated the life cycle and the key terms present in the

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application of IoT bigdata. Hence, after the above discussion it can be stated that this
nominated research paper has successfully elaborated the aspects of the nominated topic with
most appropriate data as well as the research material. Thus, it can be concluded that this
research paper has effective analyzed the nominated research article by reviewing it with
literature study, followed by which it has also critically analyzed the research paper in which
it has been noticed that all most every aspect of the nominated topic has been covered.

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Bibliography:
Cai, H., Xu, B., Jiang, L. and Vasilakos, A.V., 2016. IoT-based big data storage systems in
cloud computing: perspectives and challenges. IEEE Internet of Things Journal, 4(1), pp.75-
87.
Ge, Mouzhi & Bangui, Hind & Buhnova, Barbora. (2018). Big Data for Internet of Things: A
Survey. Future Generation Computer Systems. 10.1016/j.future.2018.04.053.
Hwang, K. and Chen, M., 2017. Big-data analytics for cloud, IoT and cognitive computing.
John Wiley & Sons.
Mohammadi, M., Al-Fuqaha, A., Sorour, S. and Guizani, M., 2018. Deep learning for IoT big
data and streaming analytics: A survey. IEEE Communications Surveys & Tutorials, 20(4),
pp.2923-2960.
Mourtzis, D., Vlachou, E. and Milas, N., 2016. Industrial Big Data as a result of IoT adoption
in manufacturing. Procedia cirp, 55, pp.290-295.
Strohbach, M., Ziekow, H., Gazis, V. and Akiva, N., 2015. Towards a big data analytics
framework for IoT and smart city applications. In Modeling and processing for next-
generation big-data technologies (pp. 257-282). Springer, Cham.