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Format.Extent Crosswalks show people where to put the data from one scheme into a different scheme. They are often used by libraries, archives, museums, and other cultural institutions to translate data to or from MARC standards, Dublin Core, Text Encoding Initiative (TEI), and other metadata schemes.
For instance, the new application might use another database vendor and most likely a very different database schema. ETL can be used to transform the data into a format suitable for the new application to use. An example would be an expense and cost recovery system such as used by accountants, consultants, and law firms.
For example, a word processor may convert an RTF file to a WordPerfect file by converting the RTF to OpenDocument and then that to WordPerfect format. An image conversion program does not convert a PCX image to PNG directly; instead, when loading the PCX image, it decodes it to a simple bitmap format for internal use in memory, and when ...
Examples of such languages include: AWK - one of the oldest and popular textual data transformation language; Perl - a high-level language with both procedural and object-oriented syntax capable of powerful operations on binary or text data. Template languages - specialized to transform data into documents (see also template processor);
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.
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.
See below for an example of an EDIFACT message used to answer a flight ticket (FRA-JFK-MIA) availability request: ‹ The template below ( Syntaxhighlight ) is being considered for deletion. See templates for discussion to help reach a consensus.
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. With the alternative method extract, load and transform (ELT), the loading job is the middle step, and the transformed data is loaded in its original format for data transformation in the target ...