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Apache Kafka is a powerful, open-source stream processing platform that enables businesses to process and analyze data in real-time. This course introduces the core concepts and architecture of Apache Kafka, guiding learners.
This course is designed for aspiring data engineers, software developers interested in data processing, and IT professionals looking to diversify into data engineering. It also targets data scientists seeking to understand real-time analytics platforms and technical managers overseeing data-driven projects.
Learners are expected to have a basic understanding of programming concepts and familiarity with the command line. No prior experience with Apache Kafka is required, but having a general interest in messaging systems and real-time data processing will be beneficial.
After completing this course, learners will be able to describe Apache Kafka's architecture and its components, enhancing data pipeline efficiency. They will also be able to configure and manage Kafka clusters, ensuring high availability and fault tolerance. Additionally, learners will be equipped to create and use topics, publishers, and subscribers to facilitate real-time data exchange, as well as implement basic stream processing applications using Kafka Streams to address real-world data challenges.
