Remove beta indicators for Data Transformers and update screenshots

content/en/docs/refguide/modeling/integration/data-transformers/_index.md

@@ -3,7 +3,6 @@ title: "Data Transformers"
 url: /refguide/data-transformers/
 weight: 50
 description: "Describes Data Transformer documents in Mendix Studio Pro."
-beta: true
 ---
 
 ## Introduction
@@ -12,10 +11,6 @@ Data Transformer documents transform data from one structure into another struct
 
 You can use this feature to pre-process an incoming message (for example, from an API response or MQTT message) before an import mapping. You can also use it to transform a message before passing it on to a downstream system that expects the data in a specific structure.
 
-{{% alert color="info" %}}
-This feature is in beta. 
-{{% /alert %}}
-
 ### Prerequisites
 
 * [Studio Pro 11.11](https://marketplace.mendix.com/link/studiopro/11.11.0) or higher

content/en/docs/refguide/modeling/integration/data-transformers/data-transformer-use-cases.md

@@ -3,7 +3,6 @@ title: "Data Transformer Use Cases"
 url: /refguide/data-transformer-use-cases/
 weight: 60
 description: "Provides practical examples of common JSLT transformation patterns for Data Transformers."
-beta: true
 ---
 
 ## Introduction
@@ -12,10 +11,6 @@ This document shows a variety of use cases that [Data Transformer documents](/re
 
 Each walkthrough focuses on a specific use case you may encounter when working with real-world API responses, such as restructuring nested data, renaming fields, or combining metadata with data. Rather than covering every detail of the JSLT language, the walkthroughs are hands-on and immediately applicable. They show a concrete input, the expected output, and the transformation that connects the two.
 
-{{% alert color="info" %}}
-The [Data Transformer document](/refguide/data-transformers/) feature is in beta. 
-{{% /alert %}}
-
 ## Filtering Out Unused Fields {#filtering-out-unused-fields}
 
 It is common for an API to return payloads that contain more fields than your app or a downstream system needs. Rather than passing the entire payload along, this transformation selects only the fields that are relevant, effectively dropping everything else. This keeps the output clean, reduces payload size, and avoids exposing unnecessary data.