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