Thursday, 14 December 2023

Apache Kafka Series - Learn Apache Kafka for Beginners v3

 Learning Objectives:

  1. Understand Apache Kafka Ecosystem:

    • Explore the various components within the Kafka ecosystem.
    • Learn about the architecture and how different parts of Kafka interact.
  2. Core Concepts and Operations:

    • Master fundamental concepts such as Topics, Partitions, Brokers, Producers, and Consumers.
    • Gain proficiency in essential operations for managing Kafka.
  3. Setting up a Personal Kafka Development Environment:

    • Establish a personal Kafka development environment for hands-on learning.
  4. Major Command-Line Interfaces (CLIs):

    • Learn and become adept at using key Kafka CLIs:
      • kafka-topics for managing topics.
      • kafka-console-producer for producing messages.
      • kafka-console-consumer for consuming messages.
      • kafka-consumer-groups for managing consumer groups.
      • kafka-configs for configuring Kafka components.
  5. Developing Producers and Consumers in Java:

    • Create producers and consumers in Java to interact with Kafka programmatically.
  6. Real-World Application:

    • Program a practical example, such as a Twitter producer and an ElasticSearch consumer, to apply concepts in a real-world scenario.
  7. Extended APIs Overview:

    • Explore advanced Kafka APIs including Kafka Connect and Kafka Streams.
    • Study case studies and understand their application in Big Data Architecture.
  8. Log Compaction:

    • Practice and understand the concept of log compaction in Kafka.

Methodology:

  1. Conceptual Understanding:

    • Gain a solid understanding of Kafka's core concepts through theoretical study.
  2. Hands-On Practice:

    • Set up a personal Kafka environment and perform hands-on exercises to reinforce learning.
  3. Coding Exercises:

    • Implement Java code for producing and consuming messages, applying learned concepts.
  4. Real-World Application Development:

    • Work on a real-world application to integrate and solidify knowledge.
  5. API Exploration:

    • Dive into extended Kafka APIs, understanding their use cases and advantages.
  6. Case Studies:

    • Analyze case studies to comprehend practical applications in diverse scenarios.
  7. Interactive Learning:

    • Engage in discussions, ask questions, and actively participate in the learning process.


I'm a highly accomplished Full Stack Developer with a strong foundation in mathematics, holding a Master's degree in Computer Applications. My skill set spans a wide range, including Software Development, Data Science, and Blogging. I specialize in Java, Spring Boot, ReactJS, and SQL, excelling in crafting efficient SQL queries and seamlessly integrating data into Java applications using jQuery. My proficiency extends to tools like DBeaver, enabling me to connect and test queries across diverse database environments. I'm dedicated to optimizing data retrieval and system performance while upholding data integrity. With a solid foundation in MongoDB, I bring versatility to data management. My goal is to create innovative web solutions and robust software, continuously evolving my skills to stay at the forefront of technology.

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