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Books on the topic 'BIM Cloud'

Author: Grafiati

Published: 4 June 2021

Last updated: 18 February 2022

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1

Carle, Eric. Little cloud. New York: Scholastic, 1999.

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2

Carle, Eric. Little Cloud. New York: Philomel Books, 1996.

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3

Carle, Eric. Little cloud. New York: Scholastic, 1997.

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4

Carle, Eric. Little cloud. New York: Philomel Books, 1998.

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5

Gentzsch, Wolfgang, G. R. Joubert, Charlie Catlett, Lucio Grandinetti, and José Luis Vasquez-Poletti. Cloud computing and big data. Amsterdam: IOS Press, 2013.

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6

Naiouf, Marcelo, Franco Chichizola, and Enzo Rucci, eds. Cloud Computing and Big Data. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27713-0.

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7

Zeng, Deze, Lin Gu, and Song Guo. Cloud Networking for Big Data. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24720-5.

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8

Qiang, Weizhong, Xianghan Zheng, and Ching-Hsien Hsu, eds. Cloud Computing and Big Data. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-28430-9.

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9

Tabii, Youness, Mohamed Lazaar, Mohammed Al Achhab, and Nourddine Enneya, eds. Big Data, Cloud and Applications. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96292-4.

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10

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

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11

Sarma, Hiren Kumar Deva, Bhaskar Bhuyan, Samarjeet Borah, and Nitul Dutta, eds. Trends in Communication, Cloud, and Big Data. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1624-5.

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12

Sarma, Hiren Kumar Deva, Samarjeet Borah, and Nitul Dutta, eds. Advances in Communication, Cloud, and Big Data. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-10-8911-4.

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13

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

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14

Mittal, Mamta, Valentina E. Balas, Lalit Mohan Goyal, and Raghvendra Kumar, eds. Big Data Processing Using Spark in Cloud. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-0550-4.

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15

Rucci, Enzo, Marcelo Naiouf, Franco Chichizola, and Laura De Giusti, eds. Cloud Computing, Big Data & Emerging Topics. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61218-4.

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16

Peter, J. Dinesh, Amir H. Alavi, and Bahman Javadi, eds. Advances in Big Data and Cloud Computing. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-1882-5.

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17

Rajsingh, Elijah Blessing, Jey Veerasamy, Amir H. Alavi, and J. Dinesh Peter, eds. Advances in Big Data and Cloud Computing. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7200-0.

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18

Kshetri, Nir, Torbjörn Torbjörn Fredriksson, and Diana Carolina Rojas Torres. Big Data and Cloud Computing for Development. New York, NY : Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315537924.

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19

Naiouf, Marcelo, Enzo Rucci, Franco Chichizola, and Laura De Giusti, eds. Cloud Computing, Big Data & Emerging Topics. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-84825-5.

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20

Kannan, Rajkumar. Managing and processing big data in cloud computing. Hershey, PA: Information Science Reference, 2016.

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21

Lee, Roger, ed. Big Data, Cloud Computing, and Data Science Engineering. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-24405-7.

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22

Lee, Roger, ed. Big Data, Cloud Computing, Data Science & Engineering. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-96803-2.

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23

Zbakh, Mostapha, Mohammed Essaaidi, Pierre Manneback, and Chunming Rong, eds. Cloud Computing and Big Data: Technologies, Applications and Security. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-97719-5.

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24

Krishnan, S. P. T., and Jose L. Ugia Gonzalez. Building Your Next Big Thing with Google Cloud Platform. Berkeley, CA: Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-1004-8.

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25

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

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26

Corrales Compagnucci, Marcelo. Big Data, Databases and "Ownership" Rights in the Cloud. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0349-8.

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27

Bub, Udo, and Klaus-Dieter Wolfenstetter, eds. Beherrschbarkeit von Cyber Security, Big Data und Cloud Computing. Wiesbaden: Springer Fachmedien Wiesbaden, 2014. http://dx.doi.org/10.1007/978-3-658-06413-6.

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28

Zaman, Noor. Handbook of research on trends and future directions in big data and web intelligence. Hershey, PA: Information Science Reference, 2015.

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29

Uden, Lorna, Jane Sinclair, Yu-Hui Tao, and Dario Liberona, eds. Learning Technology for Education in Cloud. MOOC and Big Data. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10671-7.

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30

Wang, Guojun, Md Zakirul Alam Bhuiyan, Sabrina De Capitani di Vimercati, and Yizhi Ren, eds. Dependability in Sensor, Cloud, and Big Data Systems and Applications. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-1304-6.

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31

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

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32

Kim, Haengkon, and Roger Lee, eds. Software Engineering in IoT, Big Data, Cloud and Mobile Computing. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64773-5.

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33

Vijayakumar, V., V. Neelanarayanan, Praveen Rao, and Janet Light, eds. Proceedings of 6th International Conference on Big Data and Cloud Computing Challenges. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-32-9889-7.

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34

Mavromoustakis, Constandinos X., George Mastorakis, and Ciprian Dobre, eds. Advances in Mobile Cloud Computing and Big Data in the 5G Era. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-45145-9.

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35

Millard, Christopher, ed. Cloud Computing Law. 2nd ed. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198716662.001.0001.

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This book examines in detail the legal implications of cloud computing. In essence, 'the cloud' is a way of delivering computing resources as a utility service via the Internet. It is evolving very rapidly with substantial investments being made in infrastructure, platforms, and applications, all delivered 'as a service'. The demand for cloud resources is enormous, driven by such developments as the deployment on a vast scale of mobile apps and the rapid emergence of 'Big Data'. The book explains what cloud computing is and how it works; analyses contractual relationships between cloud service providers and their customers, as well as the complex roles of intermediaries; and explores specific arrangements for public sector cloud procurement and questions about ownership of data in clouds. It also studies the protection of personal data in clouds, governance challenges relating to access to data in clouds by law enforcement authorities, ways of facilitating competition between cloud service providers, and the consumer protection implications of cloud computing.

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36

Big Cloud. Princeton Architectural Press, 2018.

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37

Sahay, Sundeep, T. Sundararaman, and Jørn Braa. Decentralized Information Use. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198758778.003.0005.

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This chapter seeks to explore the challenge and opportunities that cloud computing and big data offer to strengthen public health informatics in LMICs. Cloud computing is slowly becoming a norm, almost representing a technical and social order which we do not fully understand, but need to accept. While there is a multiplicity of understandings associated with the cloud, we often focus only on its technical elements, while ignoring the business model that underlies it. This incomplete understanding may lead to LMICs making investments in solutions which are unsustainable, while also creating new challenges and demands for capacity. The cloud also raises key dilemmas around participation, decentralization, and ownership of data. Developments in big data, necessarily dependent on the cloud, are another source of challenges and opportunities for LMICs. Whether we like it or not, cloud computing and big data are integral elements to develop the Expanded PHI perspective, and we need to find appropriate approaches to do so.

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38

Carle, Eric. Little Cloud. Tandem Library, 2001.

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39

Mewburn, Kyle. Big Black Cloud, Level 4. Oxford University Press Australia & New Zealand, 2018.

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40

Gu, Lin, Song Guo, and Deze Zeng. Cloud Networking for Big Data. Springer, 2015.

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41

Gu, Lin, Song Guo, and Deze Zeng. Cloud Networking for Big Data. Springer, 2019.

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42

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

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43

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

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44

Packard, Frank L. On the Iron at Big Cloud. Echo Library, 2018.

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45

Li, Xiaolin, and Judy Qiu. Cloud Computing for Data-Intensive Applications. Springer, 2014.

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46

Vijayakumar, V., and V. Neelanarayanan. Proceedings of the 3rd International Symposium on Big Data and Cloud Computing Challenges. Springer, 2019.

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47

Alavi, Amir H., Elijah Blessing Rajsingh, and Jey Veerasamy. Advances in Big Data and Cloud Computing. Springer, 2018.

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48

Big Data, Cloud Computing, Data Science & Engineering. Springer, 2018.

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49

Alavi, Amir H., Elijah Blessing Rajsingh, J. Dinesh Peter, and Jey Veerasamy. Advances in Big Data and Cloud Computing. Springer, 2018.

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50

Big Data, Cloud Computing, Data Science & Engineering. Springer, 2018.

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