Copyright 2022
Designed by Ermin Systems.


Copyright 2022 ©
Designed by Ermin Systems.

Real-Time Data Processing with Kafka

6 Weeks

Real-Time Data Processing with Kafka

This advanced course focuses on Apache Kafka, a powerful tool for handling real-time data streams. Participants will dive deep into Kafka's architecture, learn how to set up and manage Kafka clusters, create robust data pipelines, and integrate Kafka with various data processing tools. The course is designed for data engineers who want to build expertise in managing high-throughput, low-latency data streams for real-time analytics applications.


Detailed Syllabus:


Week 1: Introduction to Apache Kafka

  • Overview of real-time data processing and its significance.
  • Kafka fundamentals: Topics, partitions, brokers, producers, and consumers.
  • Setting up a Kafka environment.


Week 2: Kafka Architecture and Internals

  • Deep dive into Kafka architecture and its components.
  • Understanding the role of Zookeeper in Kafka.
  • Kafka's replication model and fault tolerance mechanisms.


Week 3: Producing and Consuming Data with Kafka

  • Writing producers to send data to Kafka topics.
  • Developing consumers to read data from Kafka.
  • Advanced concepts in Kafka consumers like consumer groups and offsets.


Week 4: Kafka Stream Processing

  • Introduction to Kafka Streams API.
  • Building stream processing applications with Kafka Streams.
  • Stateful and stateless processing in Kafka Streams.


Week 5: Integrating Kafka with Other Data Systems

  • Kafka Connect for integrating with external systems like databases, data lakes, and other message queues.
  • Examples of source and sink connectors.
  • Integrating Kafka with big data tools like Spark and Hadoop.


Week 6: Advanced Topics and Real-World Applications

  • Kafka security: Authentication, Authorization, and Encryption.
  • Monitoring and optimizing Kafka performance.
  • Case studies: Real-world use cases of Kafka in different industries.


Learning Outcomes:

  • Gain comprehensive knowledge of Apache Kafka and its capabilities in real-time data processing.
  • Develop skills to set up, configure, and manage Kafka clusters for high availability and performance.
  • Learn to integrate Kafka with a variety of big data technologies and build advanced streaming applications.


This course includes hands-on labs, real-world project work, and interactive discussions that help participants understand and apply Kafka in practical settings, preparing them for complex data challenges in their careers.

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