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Exactly What Is Database Mapping?
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tony hart
Aug 10, 2014, 6:25:59 AM8/10/14
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There are a selection of methods to handle data mapping, common methods consist of using procedural code, xslt transforms or through mapping tools or software which could automatically and programmatically build and run executable transformation programs. Lets cover all of these approaches in more details.
Manual data mapping is essentially linking or mapping fields in one set of data with a equivalent field in another data set by essentially drawing a line in one field to another.
Normally, this is completed in some type of graphical mapping tool that will automatically generate the results along with implement the data transformation.
Data driving mapping consists of utilising enhanced heuristics and statistics to in unison review data values in two sources to automatically complex mappings between your two data sets.
It is also on the list of newest techniques for data mapping and it is valued for assisting more advanced mapping procedures concerning data sets for example finding advanced transformations or facets ie substrings, arithmetic, case statements, concatenations etc.
Semantic data mapping is much like the auto-connect element of data mappers for the reason that it is going to make use of semantics to connect and map two sets of data, yet it can't utilize the metadata registry to find or match synonyms. It can basically uncover exact matches in between data columns and not any transformation logic or execptions.
http://www.liquid-technologies.com/datamapper/data-mapping.aspx
Manual data mapping is essentially linking or mapping fields in one set of data with a equivalent field in another data set by essentially drawing a line in one field to another.
Normally, this is completed in some type of graphical mapping tool that will automatically generate the results along with implement the data transformation.
Data driving mapping consists of utilising enhanced heuristics and statistics to in unison review data values in two sources to automatically complex mappings between your two data sets.
It is also on the list of newest techniques for data mapping and it is valued for assisting more advanced mapping procedures concerning data sets for example finding advanced transformations or facets ie substrings, arithmetic, case statements, concatenations etc.
Semantic data mapping is much like the auto-connect element of data mappers for the reason that it is going to make use of semantics to connect and map two sets of data, yet it can't utilize the metadata registry to find or match synonyms. It can basically uncover exact matches in between data columns and not any transformation logic or execptions.
http://www.liquid-technologies.com/datamapper/data-mapping.aspx
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