Mastering Apache Kafka: From Beginners to Advanced

Mastering Apache Kafka: From Beginners to Advanced
Published 7/2024
Duration: 8h19m | .MP4 1280×720, 30 fps(r) | AAC, 44100 Hz, 2ch | 4.62 GB

Learn Apache Kafka comprehensively from fundamentals to advanced topics and practical projects in this master course.

What you’ll learn
Fundamentals of Apache Kafka and its architecture.
Installation and setup of Kafka and Zookeeper.
Creating Kafka topics, producers, and consumers.
Customizing producers and consumers for specific use cases.
Handling Kafka broker scenarios and cluster management.
Configuring Kafka properties for performance optimization.
Understanding Kafka internals like buffer memory and batch size.
Managing Kafka consumer groups and load balancing.
Implementing real-world projects using Kafka and Spark for data streaming and aggregation.
Troubleshooting common issues and ensuring high availability in Kafka clusters.

Requirements
Basic understanding of Linux command line interface.
Familiarity with Java programming language.
Knowledge of distributed systems concepts (beneficial but not mandatory).
Understanding of fundamental concepts of messaging systems (e.g., queues, topics).
Basic knowledge of Hadoop ecosystem components (like HDFS) would be advantageous.

Description
Course Introduction:
Section 1: Apache Kafka – Beginners to Beyond
Section 2: Project on Apache Kafka – Top Trending Songs
Who this course is for:
Software Developers: Those interested in learning about Apache Kafka for building real-time data pipelines and streaming applications.
Data Engineers: Professionals aiming to integrate Kafka into their data architecture for scalable and efficient data processing.
System Administrators: Individuals responsible for managing and deploying Kafka clusters in enterprise environments.
Big Data Professionals: Those working with Hadoop ecosystem tools and seeking to incorporate Kafka for data ingestion and processing.
Tech Enthusiasts: Anyone curious about distributed messaging systems and real-time data processing technologies.

More Info