TobKed commented on a change in pull request #13461:
URL: https://github.com/apache/airflow/pull/13461#discussion_r556352269



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File path: docs/apache-airflow-providers-google/operators/cloud/dataflow.rst
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@@ -0,0 +1,292 @@
+ .. Licensed to the Apache Software Foundation (ASF) under one
+    or more contributor license agreements.  See the NOTICE file
+    distributed with this work for additional information
+    regarding copyright ownership.  The ASF licenses this file
+    to you under the Apache License, Version 2.0 (the
+    "License"); you may not use this file except in compliance
+    with the License.  You may obtain a copy of the License at
+
+ ..   http://www.apache.org/licenses/LICENSE-2.0
+
+ .. Unless required by applicable law or agreed to in writing,
+    software distributed under the License is distributed on an
+    "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+    KIND, either express or implied.  See the License for the
+    specific language governing permissions and limitations
+    under the License.
+
+Google Cloud Dataflow Operators
+===============================
+
+`Dataflow <https://cloud.google.com/dataflow/>`__ is a managed service for
+executing a wide variety of data processing patterns. These pipelines are 
created
+using the Apache Beam programming model which allows for both batch and 
streaming processing.
+
+.. contents::
+  :depth: 1
+  :local:
+
+Prerequisite Tasks
+^^^^^^^^^^^^^^^^^^
+
+.. include::/operators/_partials/prerequisite_tasks.rst
+
+Ways to run a data pipeline
+^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+There are several ways to run a Dataflow pipeline depending on your 
environment, source files:
+
+- **Non-templated pipeline**: Developer can run the pipeline as a local 
process on the worker

Review comment:
       You are right. I changed to "airflow worker"




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