Introduction to Apache Kafka

Empower Your Data Streams: From Basics to Real-world Applications
Why This Training?
In today's data-driven landscape, real-time data streaming has become pivotal for many industries, driving the need for powerful tools like Apache Kafka. Whether you're looking to streamline operations, build real-time analytics, or tap into the event streaming paradigm, this training serves as your stepping stone into the world of Kafka.
Duration: 9 Hours (online / virtual live session)

Who Should Attend?

 Data Engineers and Architects aiming to harness the power of event streaming.
 IT Professionals looking to expand their skill set in data processing tools.
 Business Analysts and Managers who want to understand the capabilities of Kafka.
 Developers and Coders aspiring to integrate Kafka into their applications.

Course Highlights

 Foundational Understanding: Dive deep into the event streaming paradigm and Kafka's role in it.
 Comprehensive Architecture Study: Explore Kafka's core components, including Topics, Partitions, Producers, and Consumers.
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 Hands-on Learning: Set up Kafka, produce and consume messages, and build simple stream processing applications.
 Advanced Features: Uncover Kafka's advanced functionalities like Kafka Streams and Kafka Connect.
 Security Insights: Ensure your Kafka setup is robust and secure with best-practice guidelines.
 Practical Applications: Real-world use cases and case studies to bridge theory with practice.
 Best Practices and Tips: Navigate the common pitfalls and optimize Kafka's performance in real-world scenarios.


 Basic understanding of distributed systems.
 Fundamental knowledge of data processing and streaming concepts.
 Familiarity with command-line tools and basic programming concepts.

Training Materials Needed by Participants

A laptop or desktop computer with at least 8GB RAM and a modern processor.
Installation privileges to set up required software.
A stable internet connection for downloading tools and packages.
Apache Kafka documentation (provided in the training package).
Access to a cloud account (optional) for extended exercises.
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Training Content

Introduction to Apache Kafka

Session 1: Foundations of Kafka and Event Streaming

Objective: Understand the fundamental concepts of event streaming and the pivotal role of Apache Kafka in this domain.
1. Introduction to Event Streaming & Apache Kafka:
  • What is event streaming?
  • Overview of Apache Kafka and its significance in the current tech landscape.
2. Kafka Architecture:
  • Topics, Partitions, and Offsets.
  • Producers, Consumers, and Brokers.
  • Introduction to Kafka Cluster and the role of Zookeeper.
3. Installing and Setting up Kafka:
  • Prerequisites and Installation.
  • Starting a Kafka server and creating topics.
4. Producers and Consumers:
  • Basics of producing messages to Kafka topics.
  • Introduction to consuming messages using Kafka consumers.

Session 2: Deep Dive into Kafka Functionality

Objective: Explore Kafka's advanced features, focusing on stream processing, connectors, and security.
5. Kafka Streams:
  • Introduction to Kafka Streams.
  • Building simple stream processing applications.
6. Kafka Connect:
  • Role of Kafka Connect in the ecosystem.
  • Overview of Source and Sink Connectors.
7. Securing Kafka:
  • Kafka authentication and authorization basics.
  • Brief on encrypting data at rest and in transit.
8. Monitoring and Management:
  • Key metrics to monitor in Kafka.
  • Introduction to tools for Kafka monitoring.

Session 3: Practical Applications, Best Practices, and Forward Look

Objective: Understand Kafka's real-world applications, best practices, and get insights into its future prospects.
9. Real-world Use Cases & Case Studies:
  • Kafka in various industries (e.g., financial industry for real-time fraud detection).
  • Introduction to event sourcing and real-time analytics.
10. Best Practices & Common Pitfalls:
  • Tips on optimizing Kafka for performance.
  • Common pitfalls and strategies to avoid them.
11. Conclusion, Future of Kafka & Q&A Session:
  • Discussing Kafka's evolving ecosystem and what the future might hold.
  • Wrapping up with a Q&A session to address participant queries.
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