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Updated in [May 25th, 2023]

What does this course tell?
(Please note that the following overview content is from the original platform)


Kafka Streams - Installing Multi Node Kafka Cluster.
Kafka Streams - Installing Kafka on Windows.
Kafka Streams - Configuring IntelliJ IDEA for Kafka Application Development.
Kafka Streams | Complete Training | Master Class.
Complete Kafka Training | Master Class | Scaling Kafka Producer.
Complete Kafka Training Master Class | How to test a Streaming Processing Application.


We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)
Kafka Streams - Real-time Stream Processing Book Appendix is an online learning course that provides skill training for Kafka Streams. It covers topics such as installing a multi-node Kafka cluster, configuring IntelliJ IDEA for Kafka application development, and scaling Kafka producer. It also provides guidance on how to test a streaming processing application. This course is ideal for those who want to learn the fundamentals of Kafka Streams and gain a better understanding of real-time stream processing. It is also suitable for those who want to gain a deeper understanding of Kafka and its related technologies. With this course, learners can gain the skills and knowledge needed to develop and deploy Kafka applications.

[Applications]
After completing this course, students can apply their knowledge of Kafka Streams to develop real-time stream processing applications. They can use the techniques learned in the course to install a multi-node Kafka cluster, configure IntelliJ IDEA for Kafka application development, and scale Kafka producer. Additionally, they can use the techniques learned to test a streaming processing application.

[Career Paths]
1. Data Engineer: Data Engineers are responsible for designing, building, and maintaining data pipelines and architectures. They are also responsible for developing and deploying data-driven applications. With the increasing demand for real-time data processing, Data Engineers are expected to have a strong understanding of Kafka Streams and its capabilities.

2. Data Scientist: Data Scientists are responsible for analyzing and interpreting data to gain insights and make predictions. With the increasing demand for real-time data processing, Data Scientists are expected to have a strong understanding of Kafka Streams and its capabilities.

3. Software Developer: Software Developers are responsible for developing software applications. With the increasing demand for real-time data processing, Software Developers are expected to have a strong understanding of Kafka Streams and its capabilities.

4. DevOps Engineer: DevOps Engineers are responsible for automating and managing the deployment of applications. With the increasing demand for real-time data processing, DevOps Engineers are expected to have a strong understanding of Kafka Streams and its capabilities.