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Books on the topic 'Cloud-based big data analytics'

Author: Grafiati

Published: 7 June 2025

Last updated: 17 July 2025

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1

Trovati, Marcello, Richard Hill, Ashiq Anjum, Shao Ying Zhu, and Lu Liu, eds. Big-Data Analytics and Cloud Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25313-8.

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2

Das, Himansu, Rabindra K. Barik, Harishchandra Dubey, and Diptendu Sinha Roy, eds. Cloud Computing for Geospatial Big Data Analytics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-03359-0.

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3

Sarma, Hiren Kumar Deva, Valentina Emilia Balas, Bhaskar Bhuyan, and Nitul Dutta, eds. Contemporary Issues in Communication, Cloud and Big Data Analytics. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-4244-9.

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4

Hosseinian-Far, Amin, Muthu Ramachandran, and Dilshad Sarwar, eds. Strategic Engineering for Cloud Computing and Big Data Analytics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52491-7.

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5

Upadhyay, Nitin. CABology: Value of Cloud, Analytics and Big Data Trio Wave. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8675-5.

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6

Kumar Rana, Arun, Sudeshna Chakraborty, Pallavi Goel, Sumit Kumar Rana, and Ahmed A. Elngar. Internet of Things and Big Data Analytics-Based Manufacturing. CRC Press, 2024. http://dx.doi.org/10.1201/9781032673479.

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7

Das, Sanjoy, Ram Shringar Rao, Indrani Das, Vishal Jain, and Nanhay Singh. Cloud Computing Enabled Big-Data Analytics in Wireless Ad-hoc Networks. CRC Press, 2022. http://dx.doi.org/10.1201/9781003206453.

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8

Pani, Subhendu Kumar, Somanath Tripathy, Talal Ashraf Butt, Sumit Kundu, and George Jandieri. Applications of Machine Learning in Big-Data Analytics and Cloud Computing. River Publishers, 2022. http://dx.doi.org/10.1201/9781003337218.

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9

Lotfi, Chaimaa, Swetha Srinivasan, Myriam Ertz, and Imen Latrous. Exploring the Aggregated and Granular Impact of Big Data Analytics on a Firm’s Performance Through Web Scraping-Based Methodology. SAGE Publications Ltd, 2023. http://dx.doi.org/10.4135/9781529667394.

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10

FGBOU, VO. Digital analytics and financial security control of socially significant organizations. INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1863937.

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The monograph is devoted to the formation of the concept of digital financial security analytics. The use of the digital environment and big data analysis tools in the system of monitoring sectoral risks and monitoring the activities of socially significant organizations from the position of the ESG strategy is disclosed. At the same time, financial security is considered as an aggregated result of the action of economic, environmental and social factors in a rapidly changing economy. It covers several key areas that make it possible to digitalize and improve the effectiveness of monitoring the activities of socially significant organizations in a complex: the development of the conceptual apparatus of socially significant business; analytical tools for assessing and forecasting financial security risks based on the concept of sustainable development; standardization of risk management. For students, postgraduates, teachers, as well as for the professional development of managerial personnel in business and government structures.

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11

Kazakova, Nataliya. Financial security of the company. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1908969.

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The textbook provides theoretical and practical training of business analysts on the financial security of companies. Considers the regulatory legal and methodological basis for the diagnosis of bankruptcy of organizations, as well as corporate fraud as a type of economic crimes; analytical tools for assessing the level of financial security based on a risk-oriented approach, the basics of building an internal financial security control system, including monitoring of the company's business processes affecting its financial security, as well as methods for assessing the risks of corporate fraud. The methods of diagnostics of the processes of companies' activities that contribute to improving their financial security through the introduction of a comprehensive digital environment, predictive analytics and big data technology into the control and diagnostic processes of business management are considered. Each chapter includes knowledge assessment questions, tests and situational tasks. It complies with the federal state educational standards of higher education of the latest generation, is focused on the competence model of the main professional educational programs, and also provides the functionality (requirements for labor functions) of employees laid down in the state professional standard "Business Analyst". For master's degree students studying in the areas of 38.04.01 "Economics", 38.04.02 "Management", 38.04.08 "Finance and Credit".

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12

Cloud Infrastructures for Big Data Analytics. IGI Global, 2014.

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13

Rao, Ram Shringar, Omprakash Kaiwartya, Nanhay Singh, and Sanjoy Das. Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks. IGI Global, 2020.

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14

Rao, Ram Shringar, Omprakash Kaiwartya, Nanhay Singh, and Sanjoy Das. Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks. IGI Global, 2020.

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15

Rao, Ram Shringar, Omprakash Kaiwartya, Nanhay Singh, and Sanjoy Das. Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks. IGI Global, 2020.

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16

Rao, Ram Shringar, Omprakash Kaiwartya, Nanhay Singh, and Sanjoy Das. Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks. IGI Global, 2020.

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17

Rao, Ram Shringar, Omprakash Kaiwartya, Nanhay Singh, and Sanjoy Das. Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks. IGI Global, 2020.

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18

Ramachandran, Dr Muthu, Amin Hosseinian-Far, and Dilshad Sarwar. Strategic Engineering for Cloud Computing and Big Data Analytics. Springer, 2017.

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19

Ramachandran, Dr Muthu, Amin Hosseinian-Far, and Dilshad Sarwar. Strategic Engineering for Cloud Computing and Big Data Analytics. Springer, 2018.

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20

Hill, Richard, Lu Liu, Shao Ying Zhu, Marcello Trovati, and Ashiq Anjum. Big-Data Analytics and Cloud Computing: Theory, Algorithms and Applications. Springer London, Limited, 2016.

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21

Hill, Richard, Lu Liu, Shao Ying Zhu, Marcello Trovati, and Ashiq Anjum. Big-Data Analytics and Cloud Computing: Theory, Algorithms and Applications. Springer International Publishing AG, 2016.

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22

Hill, Richard, Lu Liu, Shao Ying Zhu, Marcello Trovati, and Ashiq Anjum. Big-Data Analytics and Cloud Computing: Theory, Algorithms and Applications. Springer, 2018.

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23

Big-Data Analytics for Cloud, IoT and Cognitive Computing. Wiley & Sons, Limited, John, 2017.

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24

Chen, Min, and Kai Hwang. Big-Data Analytics for Cloud, IoT and Cognitive Computing. Wiley & Sons, Incorporated, John, 2017.

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25

INDIA, WILEY. Big-Data Analytics For Cloud, Iot And Cognitive Computing. Kai Hwang and Min Chen, 2017.

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26

Chen, Min, and Kai Hwang. Big-Data Analytics for Cloud, IoT and Cognitive Computing. Wiley & Sons, Incorporated, John, 2017.

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27

Prabhu, C. S. R. Fog Computing, Deep Learning and Big Data Analytics-Research Directions. Springer, 2019.

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28

Upadhyay, Nitin. CABology: Value of Cloud, Analytics and Big Data Trio Wave. Springer, 2019.

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29

Upadhyay, Nitin. CABology: Value of Cloud, Analytics and Big Data Trio Wave. Springer, 2018.

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30

Das, Himansu, Rabindra K. Barik, Harishchandra Dubey, and Diptendu Sinha Roy. Cloud Computing for Geospatial Big Data Analytics: Intelligent Edge, Fog and Mist Computing. Springer, 2018.

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31

Playing with the Data: Case Studies on Big Data, Data Analytics, Cloud Computing, and More. IndraStra Global, 2019.

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32

Cloud Computing Enabled Big-Data Analytics in Wireless Ad-hoc Networks. Taylor & Francis Group, 2022.

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33

Chen, Min, and Kai Hwang. Big Data Analytics for Cloud Computing: A Cognitive Machine Learning Approach. Wiley & Sons, Incorporated, John, 2017.

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34

Kundu, Sumit, Subhendu Kumar Pani, Somanath Tripathy, George Jandieri, and Talal Ashraf Butt. Applications of Machine Learning in Big-Data Analytics and Cloud Computing. River Publishers, 2022.

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35

Kundu, Sumit, Subhendu Kumar Pani, Somanath Tripathy, George Jandieri, and Talal Ashraf Butt. Applications of Machine Learning in Big-Data Analytics and Cloud Computing. River Publishers, 2022.

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36

Pani, Subhendu Kumar, Somanath Tripathy, George Jandieri, Talal Ashraf Butt, and Sumit kundu. Applications of Machine Learning in Big-Data Analytics and Cloud Computing. River Publishers, 2021.

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37

Kundu, Sumit, Subhendu Kumar Pani, Somanath Tripathy, George Jandieri, and Talal Ashraf Butt. Applications of Machine Learning in Big-Data Analytics and Cloud Computing. River Publishers, 2022.

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38

Jain, Vishal, Indrani Das, Ram Shringar Rao, Nanhay Singh, and Sanjoy Das. Cloud Computing Enabled Big-Data Analytics in Wireless Ad-Hoc Networks. Taylor & Francis Group, 2022.

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39

Jain, Vishal, Indrani Das, Ram Shringar Rao, Nanhay Singh, and Sanjoy Das. Cloud Computing Enabled Big-Data Analytics in Wireless Ad-Hoc Networks. Taylor & Francis Group, 2022.

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40

Das, Sanjoy. Cloud Computing Enabled Big-Data Analytics in Wireless Ad-Hoc Networks. CRC Press LLC, 2022.

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41

Jain, Vishal, Indrani Das, Ram Shringar Rao, Nanhay Singh, and Sanjoy Das. Cloud Computing Enabled Big-Data Analytics in Wireless Ad-Hoc Networks. Taylor & Francis Group, 2022.

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42

Applications of Machine Learning in Big-Data Analytics and Cloud Computing. River Publishers, 2021.

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43

Thodge, Sanket. Cloud Analytics with Google Cloud Platform: An end-to-end guide to processing and analyzing big data using Google Cloud Platform. Packt Publishing, 2018.

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44

Gontar, Zbigniew H. IoT-Based Big Data Analytics for Smart and Sustainable Manufacturing. IGI Global, 2021.

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45

2023 8th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA). IEEE, 2023.

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46

2023 8th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA). IEEE, 2023.

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47

Staff, IEEE. 2022 7th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA). IEEE, 2022.

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48

Awasthi, Lalit K., Jitendra Kumar Samriya, Valentina Emilia Balas, Danda B. Rawat, and Mohit Kumar. Convergence of Cloud with AI for Big Data Analytics: Foundations and Innovation. Wiley & Sons, Limited, John, 2023.

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49

Staff, IEEE. 2022 7th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA). IEEE, 2022.

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50

Awasthi, Lalit K., Jitendra Kumar Samriya, Valentina Emilia Balas, Danda B. Rawat, and Mohit Kumar. Convergence of Cloud with AI for Big Data Analytics: Foundations and Innovation. Wiley & Sons, Incorporated, John, 2023.

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