explanation
Apache Kafka Series – A new volume in the Kafka Streams series of courses for data processing and more, learn about Apache Kafka and the data processing library for Kafka streams. Kafka streams are the most convenient way to write programs based on Kafka.
- The most convenient way to relocate data using DSL higher level
- Semantically good support for exactly once
- Scaling and increasing capacity of Kafka Streams without clusters
- You can rally, merge, and do everything using just a few lines of code.
- Build programs based on Kafka tolerances for error, capacity, resiliency, and flexibility
The instructor of the course, Stephane Maarek, is one of the Kafka experts and the author of the Kafka in Higher Education course category. Kafka has over 40,000 students on Udemy and has received over 12,000 pieces of feedback. He shares all the knowledge with Kafka himself and strives to create every concept and explain its practical and theoretical dimensions to students of science.
This course is based on Java 8 and also includes Scala examples. Because Java-based Kafka streams are right, other languages are not.
Each section or theory or practice:
- In part, you will be challenged by writing your own Kafka streaming program. Learn about May Cry with a fully explained solution and tips for getting the most out of your Kafka streams.
- It’s partly a theory of all the available APIs and a book containing them, as well as a lot of interesting concepts like learning Exactly Once Semantics.
This course is the first and only one in the Internet industry that teaches Kafka streams. This course will help you become a Kafka expert.
Course Overview, Apache Kafka Series – Kafka Streams for Data Processing:
- Kafka Streaming – An Initial Look: Getting started with Kafka and running your first program streamed directly by Kafka (word count)
- Program end-to-end Kafka streams: number of program code words, write a., fetch dependencies. It’s even cooler to watch and learn how to program yourself and increase your IT capacity. This is a perfect example from end to end.
- Simple operators KStream and KTable: All operators, currently available for KStream API and KTable.
- Practice – Favorite Colors: New Skills Learned in the Writing Program Stream Kafka’s Favorite Colors (Favorite Colors) exercise to achieve the challenge of your choice. This includes a Scala version.
- Operator Advanced KStream and KTable: State storage available for all operators, KStream API, and KTable
- Theory – Exactly Once Semantics: EOS Learning), Exactly Once Semantics) is how Kafka 0.11 provides and how it is activated in Kafka streams.
- Exactly Once – Practice Practice – Bank Balance: The Writing Program The new knowledge you learn with Kafka streams on its own. Program exactly once to calculate inventory banks that your customers use regularly.
- Kafka Streams Tester: Learn how to program WordCount by testing Kafka Streams v1.1.0.
Don’t miss out on learning Kafka, the most popular library for data processing. Getting ahead of Kafka is an essential skill, and this course will help you achieve rapid success using the Kafka Streams API. The market needs more people with new skills.
Course Features:
- App Kafka is written using Java 8 to stream directly.
- Increasing Kafka Streams program capacity
- Building and packaging apps
- Configure Kafka Streams to use semantics exactly once
- Planning with DSL Advanced Kafka Streams
- Testing Kafka Streams topology creation
Apache Kafka Series Profile – Kafka Streams for Data Processing 2020/12:
Language:English
Duration: 4 hours 50 minutes
Number of courses: 76
Training level: Intermediate
teacher: Stefan Marek
File format: mp4
As of 2020/12, this course includes:
precondition:
Good knowledge of Apache Kafka
A modern computer with 4GB RAM (Windows/Linux/Mac OS
Good knowledge of Java 8 programming language
Image Term, Apache Kafka Series – Kafka Streams for data processing:
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