Description
Apache Kafka Series – Kafka Streams for Data Processing is the name of a new course in the Apache Kafka training course series, in which learning about the Kafka streams data processing library is discussed. Kafka streams is the easiest way to write your program on the Kafka platform:
- The easiest way to move data using high-end DSL
- Good support for Exactly Once semantics
- Expanding and increasing the capacity of Kafka Streams without a single cluster
- Perform aggregation, integration and any operator you can think of using just a few lines of code
- Building application on Kafka platform for fault tolerance, capacity and flexibility
The instructor of this course is Stephane Maarek, who is a Kafka expert and the author of top-level Kafka training courses on Udemy, which has more than 40,000 students with more than 12,000 feedbacks. He shares all his Kafka knowledge and tries to explain all the concepts and provide practical and theoretical aspects for students.
This course is based on Java 8 and includes an example in Scala. Since Kafka streams is based on Java, it is not suitable for any other language.
Each section is either theory or practical:
- In the practical part, you will be challenged to write your own Kafka streams application. The solution is fully explained and you will learn tips for the best use of Kafka streams.
- In the theory section, you will learn about all available APIs, their libraries, and some interesting concepts such as Exactly Once Semantics.
This course is the first and only available Kafka streams training course on the Internet, get this course and become a Kafka expert.
Apache Kafka Series Course Overview – Kafka Streams for Data Processing:
- Kafka streams – a first look: getting started with Kafka and running your first Kafka streams application (wordcount)
- End-to-End Kafka streams application: write wordcount application code, import its dependencies, build and package your application, and learn how to scale it up. This is a complete end to end example.
- Simple KStream and KTable operators: All stateless operators available for KStream API and KTable
- Hands-on exercise – Favorite Color: Practice your newly learned skills by writing your own Kafka stream program (Favorite Color) that will challenge you. It includes a scala version.
- Advanced KStream and KTable operators: All stateful operators available for KStream API and KTable
- Theory – Exactly Once Semantics: Learn what EOS (Exactly Once Semantics) is and how Kafka 0.11 provides it and how to enable them in Kafka streams.
- Exactly Once – Practice Exercise – Bank Balance: Apply the new knowledge you’ve learned by writing your own Kafka streams program, an Exactly Once program to calculate bank balances for your customers.
- Testing the Kafka streams application: Learn how to test the WordCount application with Kafka Streams v1.1.0.
Learn the most popular Kafka data processing library right now. Kafka is fast becoming an essential skill and this course will help you quickly succeed using the Kafka Streams API. The job market needs more people with your newly acquired skills.
Course features:
- Write your own Kafka Streams application using java 8.
- Increasing the capacity of the Kafka Streams application
- Build and package the program
- Configuring Kafka Streams to Use Exactly Once Semantics
- Scheduling with high-level Kafka Streams DSL
- Writing tests for Kafka Streams Topology
Specifications of Apache Kafka Series – Kafka Streams for Data Processing 2020/12 course:
English language
Duration: 4h 50m
Number of courses: 76
Education level: Intermediate
teacher: Stephane Maarek
File format: mp4
Course topics on 12/2020:
Course prerequisites:
Good knowledge of Apache Kafka
A recent computer (Windows / Linux / Mac OS X) with 4GB of RAM
Good knowledge of Java 8 Programming Language
Images of Apache Kafka Series – Kafka Streams for Data Processing course:
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