Kafka topics

Kafka topics allow scalable, fault-tolerant messaging and event streaming within an Apache Kafka cluster. Organize and categorize data streams efficiently with this publish-subscribe model. Learn how to create, manage, and leverage Kafka topics for real-time data processing.

Apache Kafka Clusters: Ensuring Scalability and Fault Tolerance

Learn how Apache Kafka clusters enable scalable and fault-tolerant streaming applications. Explore replication, partitioning, and best practices for cluster performance.

Apache Kafka and Apache Spark Integration: Stream Processing

Learn how to integrate Apache Kafka and Apache Spark for real-time stream processing. Explore the benefits, setup steps, and write a simple Spark Streaming application to consume Kafka data.

Kafka Producer API: Sending Data to Apache Kafka Topics

Learn how to use the Kafka Producer API to send data to Apache Kafka topics. Discover the steps to set up a Kafka Producer, send data to a topic, and close the producer. Build efficient and scalable systems with Kafka.

Apache Kafka Consumer API: Reading Data from Kafka Topics

Learn how to consume data from Kafka topics using the Kafka Consumer API in Java and Python. Explore key components like consumer groups, topics, partitions, and offsets. Build scalable and fault-tolerant data processing applications with Apache Kafka.

Introduction to Apache Kafka Brokers: Architecture and Setup

"In this beginner's guide, learn the architecture and setup of Apache Kafka brokers. Discover how to install, configure, and use Kafka for real-time data streaming."