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  1. ETL stands for Extract, Transform, Load, and it is a crucial process in data engineering and data management. ETL involves three primary steps: Step 1: Extract This step involves retrieving data from various source systems. These sources can include databases, APIs, flat files (such as CSV or JSON), web services, and more.
    www.bigdataframework.org/knowledge/etl-in-data-engineering/
    www.bigdataframework.org/knowledge/etl-in-data-engineering/
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  2. ಜನರು ಸಾಮಾನ್ಯವಾಗಿ ಇಂಥ ಪ್ರಶ್ನೆ ಕೇಳುತ್ತಾರೆ
  3. ETL vs ELT: Key Differences, Use Cases [2024] - bizbot.com

  4. ETL in Data Engineering: Extract, Transform and Load

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  8. ವೆಬ್1 ದಿನದ ಹಿಂದೆ · Core skills to become a developer in the ETL projects: The aspirant should have complete awareness about the updates of the ETL technology. He/she should have complete and …

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  11. ಕೆಲವು ಫಲಿತಾಂಶಗಳನ್ನು ತೆಗೆಯಲಾಗಿದೆ