Apache Kafka

This course is designed to provide you with the knowledge and skills to become a successful Kafka Developer. It focuses on fundamental concepts of Kafka and covers the advanced enabling you to gain expertise in Apache Kafka.

Audience

 

• Developers
• Big Data Architects
• Project Managers
• Admins

 

Goals

In this course you will learn:

 

• Learn Kafka fundamentals and its components.
• Set up an end to end Kafka cluster.
• Describe the basic and advanced features involved in designing and developing a high throughput messaging system.
• Use Kafka to produce and consume messages from various sources including real time streaming sources.
• Get an insight of Kafka API and understand Kafka Stream APIs.
• Understand the metrics of Kafka Monitoring and build pipelines using Kafka Connect.

 

Outline

Module 00: Basics of Apache Kafka

Module 01: Building and installing a Apache Kafka cluster

Module 02: Apache Kafka Architecture Basics

Module 03: Understanding Apache Kafka

 

• Brokers
• Replicas
• handling requests
• partitions

 

Module 04: Data delivery on Apache Kafka

 

• reliability
• integrity
• security
• data types
• Apache Kafka APIS
• java/python api's

 

Module 05: Producers and consumers on Apache Kafka

 

• developing apps for kafka
• kafka connect
• file sync

 

Module 06: Topic administration on Apache Kafka

 

• topic tools/config

 

Module 07: Storage administration on Apache Kafka

 

• file management
• file formats
• structure of storages

 

Module 08: Stream processing on Apache Kafka

 

• advanced design concepts

 

Module 09: Data replication on Apache Kafka

 

• multi-cluster architecture
• mirror-maker

 

Module 10: Monitoring of Apache Kafka

 

• broker metrics
• cluster monitoring

 

Module 11: Advanced producers and consumers on Apache Kafka

 

• serializer
• batch processing
• buffer memory

 

Module 12: Advanced into Topics on Apache Kafka

 

• topic design
• topic options

 

Prerequisites

There are no prerequisites for this course.

Technical requirements

To attend this course, you need to have:

 

• PC/Laptop with internet access
• Updated web browser