COURSE INTRODUCTION
In this Apache Kafka certification course, you will learn to master the architecture, installation, configuration and interfaces of Kafka open-source messaging. With this Kafka training, you will learn the basics of Apache ZooKeeper as a centralized service and develop the skills to deploy Kafka for real-time messaging. The course is part of the Big Data Hadoop Architect master’s program and is recommended for developers and analytics professionals who wish to advance their expertise.
KEY FEATURES
- 3.5 hours of self-paced video
- Includes 2 hands-on lab exercises
- Includes 1 industry-based case study
- Includes 2 simulation exams
COURSE OBJECTIVES
After completing this course, students will have knowledge and skills to:
- Describe the importance of big data
- Describe the fundamental concepts of Kafka
- Describe the architecture of Kafka
- Explain how to install and configure Kafka
- Explain how to use Kafka for real-time messaging
AUDIENCE
- The Apache Kafka course is suitable for many roles, including:
- Professionals aspiring for a career in Big Data
- Analytics professionals, research professionals, IT developers, testers and project managers
- Students
- Individuals looking for a change in career
PREREQUISITES
- The prerequisites for the Apache Kafka course are:
- Knowledge of any messaging system
- Basic knowledge of Java or any programming language
- Some knowledge of Linux- or Unix-based systems (nor required)
EXAM & CERTIFICATION
Unlock Simplilearn certificate
Online Self-Learning:
Complete 85 percent of the course
Complete one simulation test with a minimum score of 60 percent
COURSE CONTENT
- Section 1 - Introduction to Apache Kafka
- Section 2 - Kafka Producer
- Section 3 - Kafka Consumer
- Section 4 - Kafka Operations and Performance Tuning
- Section 5 - Kafka Cluster Architecture and Administering Kafka
- Section 6 - Kafka Monitoring and Schema Registry
- Section 7 - Kafka Streams and Kafka Connectors
- Section 8 - Integration of Kafka with Storm
- Section 9 - Kafka Integration with Spark and Flume
- Section 10 - Admin Client and Securing Kafka