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  2. Extract, transform, load - Wikipedia

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

    A properly designed ETL system extracts data from source systems and enforces data type and data validity standards and ensures it conforms structurally to the requirements of the output. Some ETL systems can also deliver data in a presentation-ready format so that application developers can build applications and end users can make decisions. [1]

  3. 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.

  4. Category:Extract, transform, load tools - Wikipedia

    en.wikipedia.org/wiki/Category:Extract...

    Extract, transform, load tools are software packages that facilitate the performing of ETL tasks. Pages in category "Extract, transform, load tools" The following 35 pages are in this category, out of 35 total.

  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. SQL Server Integration Services - Wikipedia

    en.wikipedia.org/wiki/SQL_Server_Integration...

    SSIS features a programmable object model that allows developers to write their own hosts for package execution. Such a host can respond to events, start and stop packages, and so on. The object model also allows developers to create, store, and load packages, as well as create, destroy, and modify any of the contained objects.

  7. Data extraction - Wikipedia

    en.wikipedia.org/wiki/Data_extraction

    Typical unstructured data sources include web pages, emails, documents, PDFs, social media, scanned text, mainframe reports, spool files, multimedia files, etc. Extracting data from these unstructured sources has grown into a considerable technical challenge, where as historically data extraction has had to deal with changes in physical hardware formats, the majority of current data extraction ...

  8. 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.

  9. 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.