Data Cleanse Data Security Data Validation ETL Tools 
ProjectPro
FEBRUARY 8, 2023
Data Integration and Transformation, A good understanding of various data integration and transformation techniques, like normalization, data cleansing, data validation, and data mapping, is necessary to become an ETL developer. Extract, transform, and load data into a target system.
Databand.ai
JULY 19, 2023
However, ETL can be a better choice in scenarios where data quality and consistency are paramount, as the transformation process can include rigorous data cleaning and validation steps. Implementing Strong Data Governance Measures Implementing strong data governance measures is crucial in ELT.
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