SbloodyS commented on code in PR #17384:
URL: 
https://github.com/apache/dolphinscheduler/pull/17384#discussion_r2241370372


##########
README.md:
##########
@@ -9,20 +9,20 @@
 
 ## About
 
-Apache DolphinScheduler is the modern data orchestration platform. Agile to 
create high performance workflow with low-code. It also provided powerful user 
interface,
-dedicated to solving complex task dependencies in the data pipeline and 
providing various types of jobs available **out of the box**
-
-The key features for DolphinScheduler are as follows:
-
-- Easy to deploy, provide four ways to deploy which includes Standalone, 
Cluster, Docker and Kubernetes.
-- Easy to use, workflow can be created and managed in four ways, including Web 
UI, [Python SDK](https://dolphinscheduler.apache.org/python/main/index.html) 
and Open API
-- Highly reliable and high availability, decentralized architecture with 
multi-master and multi-worker, native supports horizontal scaling.
-- High performance, its performance is N times faster than other orchestration 
platform and it can support tens of millions of tasks per day
-- Cloud Native, DolphinScheduler supports orchestrating multi-cloud/data 
center workflow, and supports custom task type
-- Versioning both workflow and workflow instance(including tasks)
-- Various state control of workflow and task, support pause/stop/recover them 
in any time
+DolphinScheduler is a modern data orchestration platform that empowers agile, 
low-code development of high-performance workflows.

Review Comment:
   ```suggestion
   Apache DolphinScheduler is a modern data orchestration platform that 
empowers agile, low-code development of high-performance workflows.
   ```
   
   We shouldn't remove it.



##########
README.md:
##########
@@ -57,16 +57,16 @@ Follow [this 
guide](https://github.com/apache/dolphinscheduler/issues/new/choose
 
 ## Contributing
 
-The community welcomes everyone to contribute, please refer to this page to 
find out more: [How to contribute](docs/docs/en/contribute/join/contribute.md),
-find the good first issue in 
[here](https://github.com/apache/dolphinscheduler/contribute) if you are new to 
DolphinScheduler.
+The community welcomes contributions from everyone. Please refer to this page 
to find out more details: [How to 
contribute](docs/docs/en/contribute/join/contribute.md).
+Check out good first issues in 
[here](https://github.com/apache/dolphinscheduler/contribute) if you are new to 
DolphinScheduler.

Review Comment:
   ```suggestion
   Check out good first issue in 
[here](https://github.com/apache/dolphinscheduler/contribute) if you are new to 
DolphinScheduler.
   ```



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