Monitoring, Streams, and Connectors
Master Kafka monitoring, stream processing, and connector integration for efficient data pipeline management.
Master Kafka monitoring, stream processing, and connector integration for efficient data pipeline management.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Apache Kafka Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Monitor Kafka broker, producer, and consumer metrics
Implement schema registry for data consistency
Master Kafka Streams architecture and operations
Build data pipelines using Kafka Connect
Optimize system performance using monitoring tools
Skills you'll gain
This course includes:
2.87 Hours PreRecorded video
12 assignments
Access on Mobile, Desktop
FullTime access
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There are 2 modules in this course
This comprehensive course focuses on advanced Apache Kafka monitoring, stream processing, and connector integration. Students learn to monitor Kafka broker metrics, manage consumer lag, and implement schema registry for data consistency. The curriculum covers Kafka Streams architecture, including threading models and state stores, along with practical implementation of K-Streams and K-Tables. Through hands-on demonstrations and real-world examples, learners develop expertise in building and maintaining robust data streaming pipelines.
Kafka Monitoring and Schema Registry
Module 1 · 1 Hours to complete
Kafka Streams and Kafka Connectors
Module 2 · 2 Hours to complete
Fee Structure
Instructor
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