In practical terms, the recommendation here is to rely on automated tools, like code generators and data transformations to avoid repetition.

This type of data transformation is needed especially when the data spans many magnitudes.

Clients - talk to both the exports server and chunk servers and are responsible of data transformation.

All the metadata about the data transformation is contained within the package.

This article is about data transformation in computer science (metadata).

There are numerous languages available for performing data transformation.

A visual mapping engine is used to configure data transformation between data sets.

Most services deal with directing and marshalling the routing of messages, doing common and often needed data transformations.

A common situation where a data transformation is applied is when a value of interest ranges over several orders of magnitude.

The identity transform is a data transformation that copies the source data into the destination data without change.