Kafka and Python Course
This course equips you to master Kafka using Python, focusing on real-time producers, consumers, and metrics pipelines. Delve into event modelling, schema creation, performance optimisation, and production deployment techniques to enable scalable, dependable data streaming for contemporary technology infrastructures. Build skills for designing resilient systems that handle high-volume data flows reliably.
flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Gain expertise in installing and setting up Kafka on local systems, crafting strong topics and schemas, and developing dependable JSON producers and consumers using Python. Create synthetic events mimicking real scenarios, optimise throughput, perform windowed aggregations, and manage offsets, retries, and errors effectively. Explore contemporary client libraries, testing methods, observability tools, and deployment strategies for efficient, robust streaming pipelines.
Elevify advantages
Develop skills
- Design effective Kafka event schemas with proper keys, fields, and evolution strategies for actual data scenarios.
- Develop high-speed Python Kafka producers for event generation, serialisation, and publishing.
- Build sturdy Python Kafka consumers featuring groups, offset management, retries, and error recovery.
- Construct real-time metrics pipelines using windowed aggregations and dedicated metric topics.
- Deploy production-grade Kafka applications with thorough testing, monitoring, security, and scalability measures.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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