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Advances in Computational Intelligence in Materials Science

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2nd International Conference on Materials Science and Sustainable Manufacturing Technology

Implementation of Data Migration and Validation to Azure using Talend

Niranjani V, Logapriya K, Pavani R, Kiruthika M, Ranjith V, Department of Computer Science and Engineering, Sri Eshwar College of Engineering, Coimbatore, India.


Online First : 07 June 2023
Publisher Name : AnaPub Publications, Kenya.
ISBN (Online) : 978-9914-9946-9-8
ISBN (Print) : 978-9914-9946-8-1
Pages : 073-081

Abstract


This project uses Talend and Azure. Before the source and target systems, data different types, and volume can be decided, the project's scope must be set the migration process must then be planned, and an Azure storage account must be created with the proper security settings. Talend is used to extract, transform, and load data from the source system into the target system utilising Azure components. To ensure that everything is correct, data validation checks are put up, and Talend is utilised to validate the data in the target system with any problems or errors being fixed as needed. Both user acceptability testing and post-migration tasks must be finished. In order to assure data's reliability and preciseness, monitoring is done last. This endeavor necessitates thorough preparation, careful oversight of details, and effective use of technologies and tools in hopes of successfully completing the transfer and requirements of a specification.

Keywords


ETL, TALEND, Data Migration, Data Validation, Database, Loading.

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Cite this article


Niranjani V, Logapriya K, Pavani R, Kiruthika M, Ranjith V, “Implementation of Data Migration and Validation to Azure using Talend”, Advances in Computational Intelligence in Materials Science, pp. 073-081, May. 2023. doi:10.53759/acims/978-9914-9946-9-8_13

Copyright


© 2023 Niranjani V, Logapriya K, Pavani R, Kiruthika M, Ranjith V. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.