Apache Kafka Crash Course for Java and Python Developers

Quickly gain valuable skills in Apache Kafka as a Python or Java dev taught by a 2X Certified Confluent Kafka Engineer
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Apache Kafka Crash Course for Java and Python Developers
3 581
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12 hours
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Nov 2023
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$74.99
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Why take this course?


Apache Kafka Crash Course for Java and Python Developers 🚀

Course Headline: 🎓 Quickly gain valuable skills in Apache Kafka as a Python or Java dev taught by a 2X Certified Confluent Kafka Engineer!


Course Description: A fast track to gain the skills needed to work with Apache Kafka as a Java or Python Software Engineer by taking the Kafka Crash Course developed and presented by a 2X Confluent Kafka Certified Engineer!

In this course, students—Java or Python Software Developers—embark on a comprehensive journey to master the essential skills required to harness the powerful capabilities of Apache Kafka. This course equips learners with practical knowledge to build robust, scalable, and highly resilient distributed systems capable of handling immense throughput.


Course Highlights:

  • Kafka Basics & Key Architecture Components: Dive deep into the core components and understand the flow of data within Apache Kafka ecosystems.
    • Topic, Producer, Consumer, Broker, Zookeeper, Kafka Streams, and Kafka Connect. 🔍 Kafka Admin API: Learn to manage Kafka clusters using Java (with Spring for Kafka) and Python. 📦 Kafka Producer API: Understand how to publish messages to Kafka topics in both Java (with Spring for Kafka) and Python. 🔌 Kafka Consumer API: Grasp the concepts of subscribing to Kafka topics and processing messages using Java (with Spring for Kafka) and Python.
    • Transactions, offset management, and consumer group behavior. 🧠 Confluent Schema Registry: Explore the importance of schema governance in a Kafka environment, with examples in both Java (with Spring for Kafka) and Python. 🚦 Kafka Connect Integration: Learn to import/export data from/to Kafka using common source/sink systems with practical examples.
    • Sink connectors, source connectors, and transform debezium. 🌊 Stream Processing Basics: Get an overview of stream processing fundamentals with hands-on examples using Kafka Streams (Java) and Faust Streams (Python).

Why Take This Course? 🌟

This Apache Kafka Crash Course for Java and Python Developers is meticulously designed to provide a swift yet thorough learning experience. It's perfect for:

  • Interview Prep: Stand out in your next technical interview by demonstrating your knowledge of Apache Kafka.
  • Career Enhancement: Expand your skill set to include one of the most in-demand technologies in big data and real-time analytics.
  • Immediate Applications: Apply your newfound expertise to implement Apache Kafka pub/sub messaging or event streaming within your current projects and roles.

Course Content Breakdown:

  • Fundamental Theory: Delve into the inner workings of Apache Kafka's storage mechanism and learn about performance tuning for producers and consumers.
  • Practical Examples & Code Samples: Engage with real-world code examples in both Java and Python to solidify your understanding.
  • Balanced Approach: A blend of theoretical content and practical exercises ensures a comprehensive learning experience.

Enroll Now! 🎓✨

Join this Apache Kafka Crash Course to propel your career forward, whether you're looking to enhance your current role or transition into new opportunities in the exciting field of big data and event-driven architecture. With hands-on learning and expert guidance from a seasoned Confluent Kafka Engineer, you'll be ready to tackle any challenge that comes your way with Apache Kafka! 🚀🐍👩‍💻👨‍💻


About the Instructor: Adam McQuiston is a 2X Certified Confluent Kafka Engineer with extensive experience in real-world application of Apache Kafka. His expertise will guide you through the complexities of this powerful technology, ensuring you gain practical and actionable knowledge to succeed as a Java or Python Software Developer.

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4640950
udemy ID
13/04/2022
course created date
09/05/2022
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