ETL Process in Data Migration

Authors

  • PARDEEP SINGH HEAD OF DEPARTMENT(CSE), GURU TEGH BAHADUR 4TH CENTENARY ENGINEERING COLLEGE
    Author
  • TARUNA GULATI ASSOCIATE PROFESSOR, GURU TEGH BAHADUR 4TH CENTENARY ENGINEERING COLLEGE
    Author

DOI:

https://doi.org/10.71366/ijwos03042689514

Keywords:

Conceptual Model, Data cleaning , Data Mart, Data Migration, Data Quality, Data Warehouses, Decision Making, ETL, Metadata, OLAP, OLTP

Abstract

Data Migration is the process of transferring data between storage types, formats, or computer systems. It is a key consideration for any system implementation, upgrade, or consolidation. It has become a priority in many industries, spawned by a variety of business needs. The ETL process is one of the most important processes of data warehouse building. It involves all sorts of environments, involves multiple technical means to extract data from the data sources of various operation types and load them to the target: data warehouse. This process actually integrates data from different data sources and data of different operation types and transforms the nonstandard data into standard ones to some extent. The systems and methods may involve analyzing a source language construct of the source data integration platform to determine a logical syntax.

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Published

2026-04-30

How to Cite

[1]
PARDEEP SINGH , “ETL Process in Data Migration”, Int. J. Web Multidiscip. Stud. pp. 354-360, 2026-04-30 doi: https://doi.org/10.71366/ijwos03042689514 .