diff --git a/README.md b/README.md
index f504165f..86025505 100644
--- 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
index 0c2d8155..984073c7 100644
--- 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 @@
org.springframework.boot
spring-boot-starter-parent
- 3.3.0-RC1
+ 3.2.5
com.example