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  1. What is ETL? Guide to Extract, Transform, Load Processes.

  2. What is ETL (Extract Transform Load)? - GeeksforGeeks

  3. ಜನರು ಸಾಮಾನ್ಯವಾಗಿ ಇಂಥ ಪ್ರಶ್ನೆ ಕೇಳುತ್ತಾರೆ
    What Is ETL? Extract, Transform, and Load (ETL) is a process to integrate data into a data warehouse. It provides a reliable single source of truth (SSOT) necessary for business intelligence (BI) and various other needs, such as storage, data analytics, and machine learning (ML).
    Extraction, transformation, and loading. ETL refers to the methods involved in accessing and manipulating source data and loading it into target database. The first step in ETL process is mapping the data between source systems and target database (data warehouse or data mart). The second step is cleansing of source data in staging area.
    ETL is indispensable when it comes to data migration and transitioning to cloud environments. It extracts data from on-premises systems, adapt it for compatibility with cloud platforms, and load it seamlessly into the cloud.
    The first step in ETL process is mapping the data between source systems and target database (data warehouse or data mart). The second step is cleansing of source data in staging area. The third step is transforming cleansed source data and then loading into the target system.
  4. What is ETL? Definition, Process, Best Practices, Use Cases

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  6. What is ETL Developer: Role, Responsibilities, and Skills - AltexSoft

  7. ETL Process in Data Warehouse

  8. What Are ETL Workloads: Purpose And Challenges! | nOps

  9. Introduction to ETL Testing: A Beginner’s Guide

  10. Power BI Tutorial: ETL Explained - YouTube