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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. Data vault modeling - Wikipedia

    en.wikipedia.org/wiki/Data_Vault_Modeling

    Both techniques have issues when dealing with changes in the systems feeding the data warehouse [citation needed]. For conformed dimensions you also have to cleanse data (to conform it) and this is undesirable in a number of cases since this inevitably will lose information [citation needed]. Data vault is designed to avoid or minimize the ...

  5. SQL Server Integration Services - Wikipedia

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

    The SSIS Import/Export Wizard lets the user create packages that move data from a single data source to a destination with no transformations. The Wizard can quickly move data from a variety of source types to a variety of destination types, including text files and other SQL Server instances.

  6. 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.

  7. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    The data is necessary as inputs to the analysis, which is specified based upon the requirements of those directing the analytics (or customers, who will use the finished product of the analysis). [ 14 ] [ 15 ] The general type of entity upon which the data will be collected is referred to as an experimental unit (e.g., a person or population of ...