Leveraging Azure Data Factory for COVID-19 Data Ingestion, Transformation, and Reporting
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1326-4_23
Reference14 articles.
1. Diaz F, Freato R (2018) Orchestrate data with azure data factory. In: Cloud data design, orchestration, and management using Microsoft Azure. Apress Berkeley, pp 263–325. https://doi.org/10.1007/978-1-4842-3615-4
2. The European Centre for Disease Prevention and Control (ECDC). https://www.ecdc.europa.eu/. Accessed 15 July 2023
3. Eurostat. https://ec.europa.eu/eurostat. Accessed 15 July 2023
4. Pham Q, Nguyen DC, Huynh-The T, Hwang WJ, Pathirana PN (2020) Artificial intelligence (AI) and big data for coronavirus (COVID-19) pandemic: a survey on the state-of-the-arts. IEEE Access 8:130820–130839
5. Tenali N, Babu GRM (2023) A systematic literature review and future perspectives for handling big data analytics in COVID-19 diagnosis. New Gener Comput 41(2):243–280
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