Learning Objectives
After completing this lesson, you’ll be able to:
- Identify when to use workflow transformers to read and write FME formats.
- Identify when to use workflow transformers to read and write web services.
- Identify when to use workflow transformers to read and write attributes.
- Identify when to use workflow transformers to receive/send data packets
Instructions
In this lesson, you will:
- Optional: Watch the Introduction video.
- Optional: Watch the Learn Workflow Transformers video.
- Scroll down to read the text below.
- Optional: Let us know if you found this lesson relevant to your role by filling out the survey at the bottom of the page.
- Click 'Next' to mark the lesson complete.
Although data is usually read and written using readers and writers, transformers can perform the same tasks. These transformers appear in the Workflows category of the Transformer Gallery and can handle data in web services.
Some of the critical workflow transformers and the tasks that they carry out are as follows:
- Read and Write FME Formats
- FeatureReader, FeatureWriter
- These transformers let you read or write data during a workflow. The FeatureReader also lets you use input features in a spatial filter to control which features are read.
- Read and Write Web Services
- Read and Write Attributes
- Receive/Send Data Packets
These transformers are part of a workflow because they don't necessarily read or write data at the start or end of a translation; they can be set up to read or write data mid-translation. This provides certain advantages over fixed-position readers and writers.
Leave Us Feedback on This Lesson