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Efficient incremental loading in ETL processing for real-time data integration

  • Published:2019-05-15 Issue:1 Volume:16 Page:53-61
  • ISSN:1614-5046
  • Container-title:Innovations in Systems and Software Engineering
  • language:en
  • Short-container-title:Innovations Syst Softw Eng

Author:

Biswas Neepa,Sarkar Anamitra,Mondal Kartick ChandraORCID

Publisher

Springer Science and Business Media LLC

Subject

Software

Reference41 articles.

1. Inmon W (2005) Building the data warehouse. Wiley, New York

2. Vassiliadis P (2009) A survey of extract—transform—load technology. Int J Data Warehous Min 5(3):1–27

3. Eckerson W, White C (2003) Evaluating ETL and data integration platforms. Report of The Data Warehousing Institute 184

4. Data integration. http://www.pentaho.com/product/data-integration . Accessed 06 Feb 2018

5. Data integration: talend enterprise data integration services. http://www.talend.com/products/data-integration . Accessed 06 Feb 2018

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1. Implementing Middleware Architecture for Automated Data Pipeline over Cloud Technologies;2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT);2024-04-06

2. The multi-criteria evaluation of research efforts based on ETL software: from business intelligence approach to big data and semantic approaches;Evolutionary Intelligence;2024-01-23

3. Challenges and Solutions of Real-Time Data Integration Techniques by ETL Application;Advances in Business Information Systems and Analytics;2024-01-04

4. Research and Application of an Incremental Extraction Scheme for Monitoring Power Equipment Data;Computer Applications;2023-12-16

5. 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
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