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2. Data extraction - Wikipedia

   en.wikipedia.org/wiki/Data_extraction

   Extract, transform, load (ETL), procedure for copying data from one or more sources, transforming the data at the source system, and copying into a destination system Information extraction , automated extraction of structured information from unstructured or semi-structured machine-readable data [ 1 ] , for example using natural language ...

3. 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]

4. 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.

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. Data build tool - Wikipedia

   en.wikipedia.org/wiki/Data_build_tool

   seed is a type of reference table used in dbt for static or infrequently changed data, like for example country codes or lookup tables), which are CSV based and typically stored in a seeds folder. References

7. Data warehouse - Wikipedia

   en.wikipedia.org/wiki/Data_warehouse

   Data Warehouse and Data mart overview, with Data Marts shown in the top right.. In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis and is a core component of business intelligence. [1]