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Use "processor" instead of "prepper" for Data Prepper, which is the correct terminology now. (#889) 

Signed-off-by: David Venable <dlv@amazon.com>

Signed-off-by: David Venable <dlv@amazon.com>
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6
_clients/data-prepper/pipelines.md
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@ -9,7 +9,7 @@ nav_order: 2
![Data Prepper Pipeline]({{site.url}}{{site.baseurl}}/images/data-prepper-pipeline.png)
To use Data Prepper, you define pipelines in a configuration YAML file. Each pipeline is a combination of a source, a buffer, zero or more preppers, and one or more sinks. For example:
To use Data Prepper, you define pipelines in a configuration YAML file. Each pipeline is a combination of a source, a buffer, zero or more processors, and one or more sinks. For example:
```yml
simple-sample-pipeline:
@ -34,9 +34,9 @@ simple-sample-pipeline:
By default, Data Prepper uses its one and only buffer, the `bounded_blocking` buffer, so you can omit this section unless you developed a custom buffer or need to tune the buffer settings.
- Preppers perform some action on your data: filter, transform, enrich, etc.
- Processors perform some action on your data: filter, transform, enrich, etc.
You can have multiple preppers, which run sequentially from top to bottom, not in parallel. The `string_converter` prepper transform the strings by making them uppercase.
You can have multiple processors, which run sequentially from top to bottom, not in parallel. The `string_converter` processor transform the strings by making them uppercase.
- Sinks define where your data goes. In this case, the sink is stdout.