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Introduction

Overview of Apache Kafka

Definition and Purpose

Core Components: Producers, Consumers, Topics, and Brokers

Use Cases and Applications in the Industry

Importance of Understanding Version Differences

Impact on Performance and Scalability

Compatibility and Migration Concerns

New Features and Improvements

Key Enhancements in Kafka 3 over Kafka 2

Architectural Improvements

KRaft (Kafka Raft) Mode

      - Introduction to KRaft

      - Benefits over Zookeeper

Reduced Dependencies and Simplified Deployment

Performance Enhancements

Improvements in Throughput and Latency

Enhanced Resource Utilization and Efficiency

Optimizations in Log Management and Storage

Feature Additions and API Changes

New Configuration Options

Stream Processing Enhancements

Updated Kafka Streams API

Changes to Producer and Consumer APIs

Migration Strategies and Considerations

Planning the Migration

Assessing Compatibility and Dependencies

Testing and Validation

Rollback and Contingency Plans

Executing the Migration

Step-by-Step Migration Process

Handling Data Consistency and Integrity

Monitoring and Troubleshooting During Migration

Post-Migration Best Practices

Performance Tuning and Optimization

New Feature Adoption

Continuous Monitoring and Maintenance

Conclusion

Recap of Key Differences Between Kafka 2 and Kafka 3

Future Directions and Expectations for Apache Kafka

Resources for Further Learning and Community Support

Mastering Apache Kafka: Exploring the Differences Between Kafka 2 and Kafka 3

A course on apache Kafka, what it is, how it is setup, how it is used, some examples, the difference between Kafka 2 and Kafka 3

In the rapidly evolving landscape of big data and real-time data streaming, Apache Kafka has emerged as a powerful and reliable tool for building distributed data pipelines. This course, 'Mastering Apache Kafka: Exploring the Differences Between Kafka 2 and Kafka 3,' is designed to help you understand and leverage the latest advancements in this popular open-source platform.

The course begins with an introduction to Apache Kafka, providing an overview of its core components, use cases, and applications in various industries. We will delve into the fundamental concepts of Kafka, such as Producers, Consumers, Topics, and Brokers, setting the stage for a comprehensive exploration of the differences between Kafka 2 and Kafka 3.

Understanding the version differences in Apache Kafka is crucial for developers, architects, and data engineers looking to optimize performance, scalability, and compatibility in their data streaming applications. In this course, we will discuss the impact of these differences on various aspects such as performance, scalability, compatibility, migration concerns, and new features. We will also examine the key enhancements in Kafka 3, including architectural improvements, reduced dependencies, and simplified deployment, as well as performance optimizations, feature additions, and API changes.

By the end of this course, you will have gained a deep understanding of the improvements and advancements in Kafka 3, enabling you to make informed decisions about migration strategies and best practices. You will be well-equipped to execute a successful migration, handle data consistency and integrity, monitor and troubleshoot the process, and adopt new features for optimal performance and efficiency.

This course is essential for anyone seeking to stay current with the latest developments in Apache Kafka and harness its full potential for their big data and real-time data streaming needs. Join us as we explore the exciting world of Kafka 3 and help you take your data streaming skills to the next level.