A Novel Approach to Handle Huge Data for Refreshment Anomalies in Near Real-Time ETL Applications-Reference-Cited by-同舟云学术

A Novel Approach to Handle Huge Data for Refreshment Anomalies in Near Real-Time ETL Applications

Published:2020 Issue: Volume: Page:545-554
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Mohammed Muddasir N.,Raghuveer K.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-4032-5_50

Reference15 articles.

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4. Yue, Z., Hector, G.-M., Wiener, J.L.: Consistency Algorithms For Multi-Source Warehouse View Maintenance. Kluwer Academic Publisher, Boston (1997)

5. Gupta, A., Jagadish, H.V., Mumick, I.S.: Data integration using self maintaince views. ACM, Cambridge (1999)

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