A Systematic Literature Review on Big Data Extraction, Transformation and Loading (ETL)
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-80126-7_24
Reference19 articles.
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2. Aqlan, F., Nwokeji, J.C.: Applying product manufacturing techniques to teach data analytics in industrial engineering: a project based learning experience. In: 2018 IEEE Frontiers in Education Conference (FIE), pp. 1–7, October 2018
3. Aqlan, F., Nwokeji, J.C., Shamsan, A.: Teaching an introductory data analytics course using microsoft access® and excel®. In: 2020 IEEE Frontiers in Education Conference (FIE), pp. 1–10, October 2020
4. Bansal, S.K.: Towards a semantic extract-transform-load (ETL) framework for big data integration. In: 2014 IEEE International Congress on Big Data, pp. 522–529, June 2014
5. Dayal, U., Castellanos, M., Simitsis, A., Wilkinson, K.: Data integration flows for business intelligence. In: Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology, EDBT 2009, pp. 1–11. ACM, New York (2009)
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