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2. Extract, transform, load - Wikipedia

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

   ETL processing involves extracting the data from the source system(s). In many cases, this represents the most important aspect of ETL, since extracting data correctly sets the stage for the success of subsequent processes. Most data-warehousing projects combine data from different source systems.

3. 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. This enables faster loading times. However, ELT requires sufficient processing power within the ...

4. Data loading - Wikipedia

   en.wikipedia.org/wiki/Data_loading

   Data loading, or simply loading, is a part of data processing where data is moved between two systems so that it ends up in a staging area on the target system.. With the traditional extract, transform and load (ETL) method, the load job is the last step, and the data that is loaded has already been transformed.

5. HPCC - Wikipedia

   en.wikipedia.org/wiki/HPCC

   The first of these platforms is called Thor, a data refinery whose overall purpose is the general processing of massive volumes of raw data of any type for any purpose but typically used for data cleansing and hygiene, ETL (extract, transform, load) processing of the raw data, record linking and entity resolution, large-scale ad-hoc complex ...

6. Pentaho - Wikipedia

   en.wikipedia.org/wiki/Pentaho

   Pentaho for Big Data: EE, CE: PDI plug-in: N/A: Pentaho for Big Data is a data integration tool based on Pentaho Data Integration. [2] It allows executing ETL jobs in and out of big data environments such as Apache Hadoop or Hadoop distributions such as Amazon, Cloudera, EMC Greenplum, MapR, and Hortonworks. [3]

7. Spatial ETL - Wikipedia

   en.wikipedia.org/wiki/Spatial_ETL

   The transformation phase of a spatial ETL process allows a variety of functions; some of these are similar to standard ETL, but some are unique to spatial data. [3] Spatial data commonly consists of a geographic element and related attribute data; therefore spatial ETL transformations are often described as being either geometric transformations – transformation of the geographic element ...