Apache Kafka - An Introduction
This course introduces the core concepts and architecture of Apache Kafka, guiding learners. This course aims to provide a solid foundation in Apache Kafka, enabling participants to understand its architecture, core concepts, and operational mechanic
Overview
This course includes:
- 1 hour of on-demand video
- Certificate of completion
- Direct access/chat with the instructor
- 100% self-paced online
This course on Apache Kafka provides a comprehensive introduction to its core concepts, architecture, and operational mechanics, equipping participants with the skills needed to leverage this powerful stream processing platform. Learners will gain a deep understanding of Kafka's architecture and its integration into modern data environments, enabling them to set up and configure Kafka clusters for optimal performance. They will also explore Kafka's messaging system, learning to create and subscribe to topics effectively, and delve into stream processing applications using Kafka Streams. Through interactive sessions and practical exercises, participants will master real-time data management and processing, preparing them to apply Kafka's capabilities in various data-driven scenarios.
Skills You Will Gain
Learning Outcomes (At The End Of This Program, You Will Be Able To...)
- Describe Apache Kafka’s architecture and its components, enhancing data pipeline efficiency.
- Configure and manage Kafka clusters, ensuring high availability and fault tolerance.
- Apply (Create and use) topics, publishers, and subscribers to facilitate real-time data exchange.
- Implement basic stream processing applications using Kafka Streams, addressing real-world data challenges.
Prerequisites
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.
Who Should Attend
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.
