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The following commit(s) were added to refs/heads/dev by this push:
     new 943a32f1c7 [Doc-17209]Fix typos and improve grammar in README.md 
(#17206)
943a32f1c7 is described below

commit 943a32f1c73921a6f7e9a76ca9abaef9734ab44f
Author: GuessingBlast <[email protected]>
AuthorDate: Tue May 27 13:50:47 2025 +0800

    [Doc-17209]Fix typos and improve grammar in README.md (#17206)
---
 README.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index aa423b16a6..ae23a6bfa2 100644
--- a/README.md
+++ b/README.md
@@ -9,13 +9,13 @@
 
 ## About
 
-Apache DolphinScheduler is the modern data orchestration platform. Agile to 
create high performance workflow with low-code. It is also provided powerful 
user interface,
+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 including Standalone, 
Cluster, Docker and Kubernetes.
-- Easy to use, workflow can be created and managed by four ways, which 
including Web UI, [Python 
SDK](https://dolphinscheduler.apache.org/python/main/index.html) and Open API
+- 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

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