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Apache Kafka

Track :

Programming

Lessons no : 6

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What will you learn in this course?
  • Master how to set up and configure Apache Kafka for scalable real-time data streaming and processing
  • Implement Kafka producers and consumers to handle high-throughput, fault-tolerant messaging systems
  • Design and deploy Kafka topics, partitions, and replication strategies for optimized data flow and reliability
  • Integrate Kafka with data analytics tools and stream processing frameworks like Kafka Streams and Kafka Connect
  • Monitor, troubleshoot, and optimize Kafka clusters for performance, security, and data integrity
  • Develop real-world applications leveraging Kafka for event-driven architecture, data pipelines, and big data analytics

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Lessons | 6

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Kafka is primarily used to build real-time streaming data pipelines and applications that adapt to the data streams. It combines messaging, storage, and stream processing to allow storage and analysis of both historical and real-time data.