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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 mapping - Wikipedia

    en.wikipedia.org/wiki/Data_mapping

    For example, if the source system lists FirstName but the destination lists PersonGivenName, the mappings will still be made if these data elements are listed as synonyms in the metadata registry. Semantic mapping is only able to discover exact matches between columns of data and will not discover any transformation logic or exceptions between ...

  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. Staging (data) - Wikipedia

    en.wikipedia.org/wiki/Staging_(data)

    A staging area, or landing zone, is an intermediate storage area used for data processing during the extract, transform and load (ETL) process. The data staging area sits between the data source(s) and the data target(s), which are often data warehouses, data marts, or other data repositories.

  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. Pentaho - Wikipedia

    en.wikipedia.org/wiki/Pentaho

    Pentaho started out as business intelligence (BI) software developed by the Pentaho Corporation in 2004. It comprises Pentaho Data Integration (PDI) and Pentaho Business Analytics (PBA)]. These provide data integration, OLAP services, reporting, information dashboards, data mining and extract, transform, load (ETL) capabilities.

  9. 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.

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