ETL Technologies for Big Data: A Comparative Study-Reference-Cited by-同舟云学术

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ETL Technologies for Big Data: A Comparative Study

Published:2023-11-23 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 IEEE International Conference on Advances in Data-Driven Analytics And Intelligent Systems (ADACIS)
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Author:

Zineb Lamghari¹,Rachid Fakhar²

Affiliation:

1. University of Sidi Mohammed Ben Abdallah,Laboratory of Innovative Technologies (LTI), High School of Technology (ESTF),Fez,Morocco

2. University of Sultan Moulay Slimane,Laboratory of Materials, Mathematics and Environmental Sciences (LS2ME), 25000, Faculty Polydisciplinary (FPK),Khouribga,Morocco

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10424033/10424017/10424341.pdf?arnumber=10424341

Reference26 articles.

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

2. Data Warehousing Process Modeling from Classical Approaches to New Trends: Main Features and Comparisons

3. Effort Estimation Method for Extract Transfer Load (ETL) Big Data Projects

4. Comparative Analysis of ETL Tools in Big Data Analytics

5. Distributed real-time ETL architecture for unstructured big data

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