Assunção, M. D., Calheiros, R. N., Bianchi, S., Netto, M. A., & Buyya, R. (2015). Big Data computing and clouds: Trends and future directions. Journal of Parallel and Distributed Computing, 3-15.
Bahrami, M., & Singhal, M. (2015). The role of cloud computing architecture in big data. Information granularity, big data, and computational intelligence, 275-295.
Balachandran, B. M., & Prasad, S. (2017). Challenges and Benefits of Deploying Big Data Analytics in the Cloud for Business Intelligence. Procedia Computer Science, 112, 1112-1122.
Buyya, R., Yeo, C. S., Venugopal, S., Broberg, J., & Brandic, I. (2009). Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility. Future Generation computer systems, 25(6), 599-616.
Chen, C. P., & Zhang, C.-Y. (2014). Data-intensive applications, challenges, techniques and technologies: A survey on Big Data. Information Sciences, 314-347.
Diaz, F., Freato, R., Diaz, F., & Freato, R. (2018). Orchestrate Data with Azure Data Factory. Cloud Data Design, Orchestration, and Management Using Microsoft Azure: Master and Design a Solution Leveraging the Azure Data Platform, 263-325.
Kune, R., Konugurthi, P. K., Agarwal, A., Chillarige, R. R., & Buyya, R. (2016). The anatomy of big data computing. Software: Practice and Experience, 46(1), 79-105.
Mukherjee, R., & Kar, P. (2017, January). A comparative review of data warehousing ETL tools with new trends and industry insight. In 2017 IEEE 7th International Advance Computing Conference (IACC) (pp. 943-948). IEEE
Sivarajah, U., Kamal, M. M., Irani, Z., & Weerakkody, V. (2017). Critical analysis of big data challenges and analytical methods. Journal of Business Research, 263-286.
Sreemathy, J., Brindha, R., Nagalakshmi, M. S., Suvekha, N., Ragul, N. K., & Praveennandha, M. (2021, March). Overview of ETL tools and talend-data integration. In 2021 7thInternational Conference on Advanced Computing and Communication Systems (ICACCS) (Vol. 1, pp. 1650-1654). IEEE.
Stefanov, G. (2019). Analysis of Cloud based ETL in the Era of IoT and Big Data. In 9thInternational Conference on Application of Information and Communication Technology and Statistics in Economy and Education (ICAICTSEE – 2019). SOFIA.
Kherdekar, V. A., & Metkewar, P. S. (2016). A technical comprehensive survey of ETL tools. International Journal of Applied Engineering Research, 11(4), 2557-2559.
Zhou, C., Su, F., Pei, T., Zhang, A., Du, Y., Luo, B., … Zhu, Y. (2020). COVID-19: challenges to GIS with big data. Geography and Sustainability, 77-87.