ISO-690 (author-date, English)

EL-SAYED, Ahmed, ABOUGABAL, Mohamed und LAZEM, Shaimaa, 2025. Practical big data techniques for end-to-end machine learning deployment: a comprehensive review. Discover Data. 15 April 2025. Vol. 3, no. 1, p. 1-18. DOI 10.1007/s44248-025-00029-3.

Elsevier - Harvard (with titles)

El-Sayed, A., Abougabal, M., Lazem, S., 2025. Practical big data techniques for end-to-end machine learning deployment: a comprehensive review. Discover Data 3, 1-18. https://doi.org/10.1007/s44248-025-00029-3

American Psychological Association 7th edition

El-Sayed, A., Abougabal, M., & Lazem, S. (2025). Practical big data techniques for end-to-end machine learning deployment: a comprehensive review. Discover Data, 3(1), 1-18. https://doi.org/10.1007/s44248-025-00029-3

Springer - Basic (author-date)

El-Sayed A, Abougabal M, Lazem S (2025) Practical big data techniques for end-to-end machine learning deployment: a comprehensive review.. Discover Data 3:1-18. https://doi.org/10.1007/s44248-025-00029-3

Juristische Zitierweise (Stüber) (Deutsch)

El-Sayed, Ahmed/ Abougabal, Mohamed/ Lazem, Shaimaa, Practical big data techniques for end-to-end machine learning deployment: a comprehensive review., Discover Data 2025, 1-18.

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