April 2020
Beginner to intermediate
10h 52m
English
Closed Captioning available in English
Overview
In this 11 hr course, you will delve into the fundamentals of Apache Kafka and real-time stream processing. By learning about the Kafka Streams API, you will gain the skills to design and implement efficient streaming applications for various use cases.
What I will be able to do after this course
- Understand the architectures of Apache Kafka and Kafka Streams.
- Master creating real-time streaming applications using the Kafka Producer APIs.
- Develop and test Kafka Streams applications with Python and Java.
- Implement industry-standard technologies like AVRO, Schema Registry, and Log4J2.
- Learn to process, serialize, and deserialize JSON and AVRO data in streams.
Course Instructor(s)
Prashant Kumar Pandey is an experienced software engineer and educator specializing in distributed systems and stream processing. With years of experience leveraging tools such as Apache Kafka, he brings practical insights to teaching complex topics. His approachable and example-driven teaching style helps learners grasp fundamental and advanced concepts effectively.
Who is it for?
This course is ideal for software engineers aiming to build stream processing applications with Kafka Streams. Java developers interested in implementing real-time Kafka solutions will find this course valuable. It is also recommended for data architects and engineers designing data-centric infrastructures. Familiarity with Java is a prerequisite.
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