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  2. Extract, transform, load - Wikipedia

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

    ETL tools are typically used by a broad range of professionals – from students in computer science looking to quickly import large data sets to database architects in charge of company account management, ETL tools have become a convenient tool that can be relied on to get maximum performance.

  3. File:The US Department of Defence's Computer Networks.pdf

    en.wikipedia.org/wiki/File:The_US_Department_of...

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us

  4. 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.

  5. Data integration - Wikipedia

    en.wikipedia.org/wiki/Data_integration

    Figure 1: Simple schematic for a data warehouse. The Extract, transform, load (ETL) process extracts information from the source databases, transforms it and then loads it into the data warehouse. Figure 2: Simple schematic for a data-integration solution. A system designer constructs a mediated schema against which users can run queries.

  6. Apache NiFi - Wikipedia

    en.wikipedia.org/wiki/Apache_NiFi

    Apache NiFi is a software project from the Apache Software Foundation designed to automate the flow of data between software systems.Leveraging the concept of extract, transform, load (ETL), it is based on the "NiagaraFiles" software previously developed by the US National Security Agency (NSA), which is also the source of a part of its present name – NiFi.

  7. 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. [1]

  8. Extract, load, transform - Wikipedia

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

    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.

  9. 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.