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rajadilipkolli · Apr 21, 2024 · c3dcaaf · c3dcaaf
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diff --git a/README.md b/README.md
@@ -14,7 +14,7 @@ Kafka has a number of key features that make it a popular choice for data proces
 
  - **Low latency**: Kafka is designed for low-latency processing, making it suitable for real-time applications.
 
- - **High-throughput**: Kafka is able to handle high-throughput data streams, allowing it to process large amounts of data in real-time.
+ - **High-throughput**: Kafka can handle high-throughput data streams, allowing it to process large amounts of data in real-time.
 
  - **Flexibility**: Kafka is highly flexible and can be used for a wide range of data processing use cases, including real-time analytics, data pipelines, and event-driven architectures.
 

diff --git a/kafka-streams/analytics-spring-cloud-streams-kafka-consumer/pom.xml b/kafka-streams/analytics-spring-cloud-streams-kafka-consumer/pom.xml
@@ -5,7 +5,7 @@
  <parent>
  <groupId>org.springframework.boot</groupId>
  <artifactId>spring-boot-starter-parent</artifactId>
- <version>3.3.0-RC1</version>
+ <version>3.2.5</version>
  <relativePath/> <!-- lookup parent from repository -->
  </parent>
  <groupId>com.example</groupId>