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2. Extract, transform, load - Wikipedia

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

   [citation needed] A good ETL tool must be able to communicate with the many different relational databases and read the various file formats used throughout an organization. ETL tools have started to migrate into enterprise application integration , or even enterprise service bus , systems that now cover much more than just the extraction ...

3. Data transformation (computing) - Wikipedia

   en.wikipedia.org/wiki/Data_transformation...

   In computing, data transformation is the process of converting data from one format or structure into another format or structure. It is a fundamental aspect of most data integration [1] and data management tasks such as data wrangling, data warehousing, data integration and application integration.

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. 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. KNIME - Wikipedia

   en.wikipedia.org/wiki/KNIME

   KNIME workflows can be used as data sets to create report templates that can be exported to document formats such as doc, ppt, xls, pdf and others. Other capabilities of KNIME are: KNIMEs core-architecture allows processing of large data volumes that are only limited by the available hard disk space (not limited to the available RAM).