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  2. Extract, transform, load - Wikipedia

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

    For instance, the new application might use another database vendor and most likely a very different database schema. ETL can be used to transform the data into a format suitable for the new application to use. An example would be an expense and cost recovery system such as used by accountants, consultants, and law firms.

  3. Data conversion - Wikipedia

    en.wikipedia.org/wiki/Data_conversion

    PDF does not know of a word space character—the space between two letters and the space between two words differ only in quantity. Therefore, a title with ample letter-spacing for effect will usually end up with spaces in the word processor file, for example INTRODUCTION with spacing of 1 em as I N T R O D U C T I O N on the word processor.

  4. Data build tool - Wikipedia

    en.wikipedia.org/wiki/Data_build_tool

    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 warehouse. Dbt has the goal of allowing analysts to work more like software engineers, in line with the dbt viewpoint.

  5. Spatial ETL - Wikipedia

    en.wikipedia.org/wiki/Spatial_ETL

    Spatial extract, transform, load (spatial ETL), also known as geospatial transformation and load (GTL), is a process for managing and manipulating geospatial data, for example map data. It is a type of extract, transform, load (ETL) process, with software tools and libraries specialised for geographical information.

  6. Electronic data interchange - Wikipedia

    en.wikipedia.org/wiki/Electronic_data_interchange

    For example, an automotive manufacturer might maintain a modem-pool that all of its hundreds of suppliers are required to dial into to perform EDI. However, if a supplier does business with several manufacturers, it may need to acquire a different modem (or VPN device, etc.) and different software for each one.

  7. Operational data store - Wikipedia

    en.wikipedia.org/wiki/Operational_data_store

    An operational data store (ODS) is used for operational reporting and as a source of data for the enterprise data warehouse (EDW). It is a complementary element to an EDW in a decision support environment, and is used for operational reporting, controls, and decision making, as opposed to the EDW, which is used for tactical and strategic decision support.

  8. Data loading - Wikipedia

    en.wikipedia.org/wiki/Data_loading

    Data loading, or simply loading, is a part of data processing where data is moved between two systems so that it ends up in a staging area on the target system.. With the traditional extract, transform and load (ETL) method, the load job is the last step, and the data that is loaded has already been transformed.

  9. Data blending - Wikipedia

    en.wikipedia.org/wiki/Data_blending

    However, ETL is used to merge and structure data into a target database, [6] often a data warehouse. Data blending differs slightly as it's about joining data for a specific use case at a specific time. [7] With some software, data isn't written into a database, which is very different to ETL. For example, with Google Data Studio. [8]

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