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Updated in [September 05th, 2023]

Skills and Knowledge Acquisition:

Kafka Basics: Understand what Kafka is and why it has become immensely popular in the field of data streaming and messaging.

Real-World Usage: Learn where and by whom Kafka is used in real-world scenarios, gaining insights into its practical applications.

Architectural Components: Familiarize yourself with the core architectural components of Kafka, essential for building effective Kafka-based solutions.

Installation and Setup: Install Kafka on your local machine and become proficient in using the Kafka command line to create topics and send/receive messages.

Producer and Consumer Concepts: Master Kafka Producer and Consumer concepts and APIs, including sending and receiving messages efficiently.

Serialization and Deserialization: Create custom serializers and deserializers to work with various data types and explore the use of Avro's built-in serializers and deserializers.

Schema Management: Learn to use Confluent Schema Registry for efficient schema management.

Advanced Configuration: Dive into advanced Producer configuration, grasp the concepts of Consumer Groups and Rebalancing, and understand different methods of offset committing.

Kafka Streaming API: Get introduced to the fundamentals of Kafka Streaming API, work on a small use case, and explore transformation methods.

Integration with Spring: Utilize Spring's support for Kafka to create producers and consumers seamlessly.

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

In-Demand Skills: Proficiency in Kafka is highly sought after in industries that rely on real-time data streaming and messaging, making participants more attractive candidates for job roles in these domains.

Expanded Job Opportunities: Adding Kafka to one's skill set can increase the number of job opportunities and potentially lead to higher salaries, as Kafka expertise is in high demand.

Practical Knowledge: Participants gain practical knowledge of Kafka's core concepts and how to use it effectively, enhancing their ability to work on real-world projects.

Suitability for Preparing Further Education:
The "Kafka Fundamentals for Java Developers" course is suitable for individuals preparing for further education or seeking to deepen their knowledge in the field of data streaming and messaging:

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

Certification: Those planning to pursue certifications related to Apache Kafka or real-time data streaming can benefit from this course as a preparation resource.

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

Course Syllabus

Introduction

The Fundamentals

Kafka in action

Create Producers and Consumers

Use Custom Serializers and Deserializers

Use Avro

More about Producers

Message Delivery and Transactions

More about Consumers

Create a Simple Consumer

Stream Processing

Spring Boot and Kafka

Wrap Up