This module introduced you to the concept of Data Transformation and explained how to use FME Workbench for more than just quick translations.
What You Should Have Learned from this Module
The following are key points to be learned from this session:
- A schema describes a dataset’s structure, including its feature types, attributes, and geometries.
- Schema editing is the act of editing the destination schema to define better what is required out of the translation.
- The act of joining the source schema to the destination is called schema mapping. Differences between the two schemas lead to structural transformation.
- Content transformation is the modifying of data content during a translation. In FME Workbench data transformation is carried out using objects called transformers.
- Groups can be created using the Group-By option in a transformer’s parameters.
- Splitting data into multiple streams creates multiple copies and not a division of data. Bringing together multiple streams combines the data instead of merging it.
- The ability to edit a writer schema
- The ability to restructure data by mapping a reader to a writer schema, both manually and through transformers
- The ability to locate transformers in Workbench and use them to transform data content
- The ability to set transformer parameters in either the Parameter Editor or transformer dialogs
- The ability to define feature groups using the Group-By option
- The ability to reproject data using Workbench
For further reading why not browse articles tagged with Transformation on our blog?