Data Streaming with Apache Kafka (Advanced)
In this advanced quest, you will delve into the intricacies of data streaming using Apache Kafka. You'll learn how to set up Kafka clusters, manage topics, and implement producers and consumers for real-time data processing. This quest will guide you through the architecture of Kafka, including its components such as brokers, zookeepers, and connectors. You will also explore the various use cases of Kafka in the industry and how to integrate it with other technologies like Spark and Flink for powerful data analytics. By the end of this quest, you will have a robust understanding of how to handle large streams of data efficiently and the skills to implement Kafka in real-world applications.
• Understand the architecture and components of Apache Kafka
• Set up and configure Kafka clusters and topics
• Implement producers and consumers for real-time data streaming
• Integrate Kafka with other data processing frameworks like Spark and Flink
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