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  2. Extract, Transform, Load (ETL) is a three-phase process in computing where data is:
    1. Extracted from an input source.
    2. Transformed (including cleaning).
    3. Loaded into an output data container1.
    An alternative approach is Extract, Load, Transform (ELT), where data is not transformed on entry to the data lake, but stored in its original raw format, enabling faster loading times2.
    Learn more:
    In computing, extract, transform, load (ETL) is a three-phase process where data is extracted from an input source, transformed (including cleaning), and loaded into an output data container. The data can be collated from one or more sources and it can also be output to one or more destinations.
    en.wikipedia.org/wiki/Extract,_transform,_load
    Extract, load, transform (ELT) is an alternative to extract, transform, load (ETL) used with data lake implementations. In contrast to ETL, in ELT models the data is not transformed on entry to the data lake, but stored in its original raw format. This enables faster loading times.
    en.wikipedia.org/wiki/Extract,_load,_transform
     
  3. People also ask
    What is ETL (Extract Transform Load)?What is ETL (extract, transform, load)? What is ETL? ETL—which stands for extract, transform, load— is a long-standing data integration process used to combine data from multiple sources into a single, consistent data set for loading into a data warehouse, data lake or other target system.
    What is data extraction?During data extraction, raw data is copied or exported from source locations to a staging area. Data management teams can extract data from a variety of data sources, which can be structured or unstructured. Those sources include but are not limited to: In the staging area, the raw data undergoes data processing.
    What is Extract load transform (ELT)?What is extract, load, transform (ELT)? What is ELT? ELT, which stands for “Extract, Load, Transform,” is another type of data integration process, similar to its counterpart ETL, “Extract, Transform, Load”.
    What is the difference between extract and transform?Extract means to take data out of one or many databases. Transform means to change the data however you need it changed to suit the needs of your business. Load means to put it in the target database. a database doesn't have to be the source or target. unorganized flat files, web data stream or any pile of data can be the source.
     
  4. Extract, load, transform - Wikipedia

  5. What is ETL (Extract, Transform, Load)? | IBM

  6. What Is Extract, Load, Transform (ELT)? | IBM

  7. What is ELT (Extract, Load, Transform)? A Beginner’s Guide - IBM

  8. What is ETL? (Extract, Transform, Load) The …

    WEBHow ETL Works. The traditional ETL process is broken out as follows: Extract refers to pulling a predetermined subset of data from a source such as an SQL or NoSQL database, a cloud platform or an XML file. …

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  9. Extract, load, transform - Wikiwand

  10. What is ETL? - Extract Transform Load Explained - AWS

  11. What is ETL (Extract, Transform, Load)? | Snowflake

  12. What is Extract/Transform/Load (ETL)? - Stack Overflow

  13. What is ELT? (Extract, Load, Transform) The …

    WEBHow ELT Works. ELT and cloud-based data warehouses and data lakes are the modern alternative to the traditional ETL pipeline and on-premises hardware approach to data integration. ELT and cloud-based …

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  14. Extract, transform, and load (ETL) - Azure Architecture Center

  15. What is ETL? (Extract Transform Load) | Informatica

    WEBDefining ETL. If you’re working with data warehouses and data integration, chances are you’re familiar with the acronym “ETL,” or “extract, transform and load.”

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