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The following commit(s) were added to refs/heads/dev by this push:
     new e5c8dab68 [Improve] update key features. (#4191)
e5c8dab68 is described below

commit e5c8dab6858390494b8f893a8f47a0dc6f069e8d
Author: benjobs <[email protected]>
AuthorDate: Mon Feb 17 11:52:21 2025 +0800

    [Improve] update key features. (#4191)
    
    * [Improve] update key features.
    
    * [Improve] project introduction improvement
---
 README.md | 16 ++++++++--------
 1 file changed, 8 insertions(+), 8 deletions(-)

diff --git a/README.md b/README.md
index c40c84e13..b8d727b41 100644
--- a/README.md
+++ b/README.md
@@ -29,22 +29,22 @@ Apache StreamPark
 
 ## 📊 Overview
 
-**StreamPark** is a streaming application development framework and 
cloud-native real-time computing platform. Designed to simplify the development 
and management of streaming applications, StreamPark provides a development 
framework for constructing stream processing applications using Apache Flink 
and Apache Spark, along with a professional streaming application management 
platform. The platform encompasses application development, debugging, 
interactive querying, deployment, operation [...]
+**StreamPark** is an open-source streaming application development framework 
and cloud-native real-time computing platform. Designed to simplify the 
development and management of streaming applications, StreamPark provides a 
development framework for developing stream processing applications using 
Apache Flink and Apache Spark, alongside a professional management platform. 
The platform covers the full lifecycle of streaming applications, including 
development, debugging, interactive quer [...]
 
 * **Streaming Application Development Framework**
-    * StreamPark provides a Streaming application framework to simplify Apache 
Flink and Apache Spark application development, offering plug-and-play 
connectors to reduce the learning curve and development complexity.
+    * Provides a streaming-application framework to accelerate Apache Flink 
and Spark development, offering prebuilt plug-and-play APIs and connectors.
 * **Real-Time Computing Platform**
-    * StreamPark delivers a one-stop real-time computing platform with core 
capabilities including application development, deployment, management and 
monitoring, etc.
+    * Provides a one-stop solution for real-time computing, including 
application development, deployment, management, monitoring, and more.
 * **Supports Batch & Streaming**
-    * Supports both Apache Flink and Apache Spark, enabling seamless 
integration of streaming and batch processing, with multi-engine/multi-version 
support on a single platform.
-* **Supports multi-engine/multi-version**
-    * StreamPark supports multiple versions of Apache Flink and Apache Spark, 
enabling users to develop and manage applications for different versions of 
these streaming engines within a single framework.
+    * Supports Apache Flink and Apache Spark, enabling both stream processing 
and batch processing.
+* **Supports Multi-engine/Multi-version**
+  * Enables cross-version development and management of Apache Flink and 
Apache Spark applications within a unified framework.
 * **Multi-environment Compatibility**
     * Compatible with various cluster environments, users can submit Flink and 
Spark applications to standalone clusters, YARN (Hadoop 2.x/3.x), and 
Kubernetes.
 * **Rich Ecosystems**
-    * Compatible with mainstream open-source technologies (e.g., Apache Flink, 
Apache Spark, Apache Paimon, Apache Doris) and ML/AI ecosystems, ensuring 
flexible technology adoption.
+    * Compatible with big-data ecosystem tools (e.g., Apache Flink, Apache 
Spark, Apache Paimon, Apache Doris) and ML/AI ecosystems.
 * **Easy to use**
-    * StreamPark is designed to lower the learning curve and entry barrier. 
Only one service, deployment easy, allowing even beginners to get started 
within minutes.
+    * Only one service, deployment easy, allowing even beginners to get 
started within minutes.
 
 <img src="https://streampark.apache.org/image/dashboard-preview.png"/>
 

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