KAFKA Cluster deployment and Java SpringBoot

Course Feature
  • Cost
    Free
  • Provider
    Udemy
  • Certificate
    No Information
  • Language
    English
  • Start Date
    No Information
  • Learners
    No Information
  • Duration
    No Information
  • Instructor
    /
Next Course
1.5
1,400 Ratings
Learn how to deploy a Kafka Cluster and develop Java SpringBoot applications with this comprehensive course. In just a few simple steps, you will install Zookeeper and Kafka on three Ubuntu machines, allowing you to create your very own Kafka development environment. With hands-on exercises, you will also master the creation of SpringBoot Producers and Consumers. Plus, discover how to efficiently manage your Kafka setup using Kafka Manager. Don't miss this opportunity to enhance your skills and become a proficient Kafka Cluster deployer and Java SpringBoot developer. Enroll now!
Show All
Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [September 05th, 2023]

Skills and Knowledge Acquisition:
Participants in the "KAFKA Cluster Deployment and Java SpringBoot" course will acquire the following skills and knowledge:

Cluster Deployment: Learn to install and configure Zookeeper and Kafka on three Ubuntu machines, creating a functioning Kafka cluster.

Development Environment Setup: Create a personalized Kafka development environment, enabling hands-on practice with Kafka components.

SpringBoot Integration: Build SpringBoot Producer and Consumer applications capable of interacting with Kafka clusters, facilitating message production and consumption.

Kafka Cluster Management: Utilize Kafka Manager as a powerful tool for managing and overseeing Kafka clusters effectively.

Contribution to Professional Growth:
This course offers significant contributions to professional growth:

Cluster Deployment Proficiency: Participants will gain proficiency in deploying Kafka clusters, a valuable skill in organizations relying on real-time data processing.

Hands-on Experience: The course provides hands-on experience in setting up Kafka environments and developing SpringBoot applications, enhancing practical skills.

Real-world Application: Learning to build SpringBoot applications that interact with Kafka clusters prepares professionals for real-world scenarios where Kafka is utilized for data processing.

Efficient Cluster Management: Understanding and using Kafka Manager improves participants' ability to manage Kafka clusters efficiently, contributing to smoother operations.

Suitability for Preparing Further Education:
The "KAFKA Cluster Deployment and Java SpringBoot" course is suitable for individuals preparing for further education or seeking to deepen their knowledge in the field of Kafka and SpringBoot integration:

Graduate Studies: Students pursuing advanced degrees in data engineering, computer science, or related fields can use this course as a foundation for deeper exploration of Kafka and SpringBoot technologies.

Certification: Those planning to pursue certifications related to Kafka and SpringBoot development can benefit from this course as a preparation resource.

Professional Development: IT professionals looking to expand their knowledge of Kafka deployment and SpringBoot integration can use this course to enhance their expertise and prepare for further career advancement.

Course Syllabus

KAFKA Cluster Architecture

Training LAB presentation

KAFKA Cluster multi-NODES deployment on Ubuntu 20.04

Kafka manager CMAK deployment

Show All
Recommended Courses
kafka-streams-with-spring-cloud-stream-1167
Kafka Streams with Spring Cloud Stream
4.2
Udemy 4,152 learners
Learn More
Learn Kafka Streams with Spring Cloud Stream and gain a deep understanding of stream processing. This course takes a progressive common-sense approach to teaching a complex subject, allowing you to perceive, understand, and reason the concepts progressively. Designed for software engineers, data architects, and data engineers, this course will help you develop stream processing applications using the Kafka Streams library and Spring Boot. With fully example-driven lessons, you'll have the opportunity to practice and apply your knowledge using industry-standard tools like IntelliJ IDEA, Apache Maven, and JUnit5. Don't miss out on this opportunity to enhance your skills and solve real-world programming problems.
data-engineering-using-kafka-and-spark-structured-streaming-1168
Data Engineering using Kafka and Spark Structured Streaming
4.0
Udemy 2,178 learners
Learn More
Learn how to build streaming pipelines using Kafka and Spark Structured Streaming in this comprehensive course. Set up your own self-support lab with Hadoop, Hive, Spark, and Kafka on a Linux-based system. Discover how to create Kafka topics, produce and consume messages, and use Kafka Connect to ingest data from web server logs. Dive into Spark Structured Streaming and integrate it with Kafka to process and write data to different targets. Plus, learn how to handle incremental data processing. With Udemy-based support, any technical challenges you encounter will be resolved within 48 hours. Click now to start your data engineering journey!
apache-kafka-series-confluent-schema-registry-rest-proxy-1169
Apache Kafka Series - Confluent Schema Registry & REST Proxy
4.7
Udemy 11,000 learners
Learn More
The "Apache Kafka Series - Confluent Schema Registry & REST Proxy" course equips participants with essential skills and knowledge to work with Kafka, Avro schemas, and schema registries, contributing to professional growth and serving as a valuable resource for further education in the field of event-driven architecture and data integration.
learn-by-example-apache-storm-1170
Learn By Example : Apache Storm
4.6
Eduonix 0 learners
Learn More
Enroll in our comprehensive Apache Storm tutorial and unlock the power of this cutting-edge technology. Designed to be compatible with multiple languages, Apache Storm is lightning-fast in processing data sets, making it the ideal choice for big data applications. With its scalability and fault-tolerance, this course will equip you with the skills to handle even the most demanding data processing tasks. Packed with a plethora of features, our tutorial will guide you through real-world examples, ensuring you learn by doing. Don't miss out on this opportunity to master Apache Storm and take your data processing skills to the next level.
Favorites (0)
Favorites
0 favorite option

You have no favorites

Name delet