Course Highlights
  • Describe Apache Kafka's architecture and its components, enhancing data pipeline efficiency.
  • Configure and manage Kafka clusters, ensuring high availability and fault tolerance.
  • Apply (Create and use) topics, publishers, and subscribers to facilitate real-time data exchange.
  • Implement basic stream processing applications using Kafka Streams, addressing real-world data challenges.
Curriculum

18 Topics
Introduction to the Course & Meet Your Instructor
What is Apache Kafka?
Kafka Architecture Explained
Setting Up Your First Kafka Cluster
Kafka Topics and Partitions
Producing and Consuming Messages
Kafka Cluster Management
Introduction to Kafka Streams
Building Your First Stream Processing Application
Advanced Stream Processing
Congratulations and Continuous Learning Journey
Welcome to the Course: Course Overview
Unlocking Real-Time Data Streams: A Deep Dive into Apache Kafka
Kafka ETL Pipeline Creation: A Redpanda Tutorial for Developers and Data Engineers
Streamlining Real-Time Data: An Insight into Apache Kafka
Streamlining Real-Time Data: An Insight into Apache Kafka
Kafka's Architecture: Boosting Data Pipelines
Applying Kafka Streams to Real-Time Data Challenges

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Apache Kafka - An Introduction

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