A Survey of Real-Time ETL Process Applied to Data Warehousing Environments-Reference-Cited by-同舟云学术

A Survey of Real-Time ETL Process Applied to Data Warehousing Environments

Published:2022 Issue: Volume: Page:91-96
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Vilela Flávio de Assis,Ciferri Ricardo Rodrigues

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-97652-1_12

Reference21 articles.

1. R. Mukherjee, P. Kar, A comparative review of data warehousing ETL tools with new trends and industry insight, in Proceedings - 7th IEEE International Advanced Computing Conference, IACC 2017 (2017)

2. B. Yadranjiaghdam, N. Pool, N. Tabrizi, A survey on real-time big data analytics: Applications and tools, in Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016 (2017), pp. 404–409

3. H. Chandra, Analysis of change data capture method in heterogeneous data sources to support RTDW, in 2018 4th International Conference on Computer and Information Sciences (ICCOINS) (2018), pp. 1–6. [Online]. Available: https://ieeexplore.ieee.org/document/8510574/

4. F. Sabry, E. Ali, A survey of real-time data warehouse and ETL. Int. J. Sci. Eng. Res. 5(7) (2014). [Online]. Available: http://www.ijser.org

5. N.M. Muddasir, K. Raghuveer, Study of methods to achieve near real time ETL, in 2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC) (2017), pp. 436–441

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ETL Technologies for Big Data: A Comparative Study;2023 IEEE International Conference on Advances in Data-Driven Analytics And Intelligent Systems (ADACIS);2023-11-23