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  2. Extract, transform, load - Wikipedia

    en.wikipedia.org/wiki/Extract,_transform,_load

    Extract, transform, load (ETL) is a three-phase computing process where data is extracted from an input source, transformed (including cleaning), and loaded into an output data container. The data can be collected from one or more sources and it can also be output to one or more destinations.

  3. Data build tool - Wikipedia

    en.wikipedia.org/wiki/Data_build_tool

    Dbt enables analytics engineers to transform data in their warehouses by writing select statements, and turns these select statements into tables and views. Dbt does the transformation (T) in extract, load, transform (ELT) processes – it does not extract or load data, but is designed to be performant at transforming data already inside of a ...

  4. Data integration - Wikipedia

    en.wikipedia.org/wiki/Data_integration

    Data integration refers to the process of combining, sharing, or synchronizing data from multiple sources to provide users with a unified view. [1] There are a wide range of possible applications for data integration, from commercial (such as when a business merges multiple databases) to scientific (combining research data from different bioinformatics repositories).

  5. Schema crosswalk - Wikipedia

    en.wikipedia.org/wiki/Schema_crosswalk

    Crosswalk tables are often employed within or in parallel to enterprise systems, especially when multiple systems are interfaced or when the system includes legacy system data. In the context of Interfaces, they function as an internal extract, transform, load (ETL) mechanism. For example, this is a metadata crosswalk from MARC standards to ...

  6. IBM InfoSphere DataStage - Wikipedia

    en.wikipedia.org/wiki/IBM_InfoSphere_DataStage

    IBM InfoSphere DataStage is an ETL tool and part of the IBM Information Platforms Solutions suite and IBM InfoSphere. It uses a graphical notation to construct data integration solutions and is available in various versions such as the Server Edition, the Enterprise Edition, and the MVS Edition. It uses a client-server architecture.

  7. Change data capture - Wikipedia

    en.wikipedia.org/wiki/Change_data_capture

    If the data is being persisted in a modern database then Change Data Capture is a simple matter of permissions. Two techniques are in common use: Tracking changes using database triggers; Reading the transaction log as, or shortly after, it is written. If the data is not in a modern database, CDC becomes a programming challenge.

  8. Oracle Warehouse Builder - Wikipedia

    en.wikipedia.org/wiki/Oracle_Warehouse_Builder

    Oracle Warehouse Builder was built from the ground up in Oracle, it was first released in January 2000 (release 2.0.4). The 3i release significantly enhanced the ETL mapping designer, then 9i in 2003 introduced the mapping debugger, process flow editing, integrated match/merging and name/address cleansing, multi-table insert, scripting, RAC certification to name a few.

  9. Enterprise Integration Patterns - Wikipedia

    en.wikipedia.org/wiki/Enterprise_Integration...

    The pattern language continues to be relevant as of today, for instance in cloud application development and integration, and in the internet of things. In 2015, the two book authors reunited—for the first time since the publication of the book—for a retrospective and interview in IEEE Software .

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