What does the Apache Kafka course cover?
Apache Kafka is covered here in 10 modules: Introduction to Apache Kafka: History and evolution of Kafka, Kafka Architecture and Components: Topic partitions and replicas, Kafka Cluster Design and Implementation: Designing a Kafka cluster and 7 more. The outline lists 50 specific topics, opening with What is Apache Kafka? and closing with Backup and recovery strategies for Kafka.
How do you approach Apache Kafka step by step?
The work is sequenced in 10 stages. It starts with Introduction to Apache Kafka: History and evolution of Kafka, moves through Kafka Architecture and Components: Topic partitions and replicas and Kafka Cluster Design and Implementation: Designing a Kafka cluster, and ends at Kafka Best Practices and Troubleshooting: Upgrading and migrating Kafka clusters.
What is in Module 1 of the Apache Kafka course?
Module 1 is Introduction to Apache Kafka: History and evolution of Kafka. It works through What is Apache Kafka?, History and evolution of Kafka, key features and benefits of Kafka and 2 more. It sets the vocabulary the remaining 9 modules build on.
How is the Apache Kafka course delivered?
The Apache Kafka course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.
How much does the Apache Kafka course cost?
The Apache Kafka course is $199 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.
Closely related courses: Apache Kafka Toolkit, Apache Kafka RealTime Data Pipelines for Operational, Apache Kafka and Apache Spark for Real Time Data, Real-Time Data Engineering with Apache Kafka and Spark.
More answers: what you get with every course, refund policy, all help answers.
Apache Kafka: A Complete Guide
Course Overview
This comprehensive course is designed to provide participants with a thorough understanding of Apache Kafka, a distributed streaming platform that is widely used in modern data processing and analytics. Participants will learn about the architecture, components, and features of Kafka, as well as how to design, implement, and manage Kafka clusters. Upon completion of this course, participants will receive a certificate issued by The Art of Service.Course Features
- Interactive and engaging learning experience
- Comprehensive and up-to-date content
- Personalized learning with expert instructors
- Practical and real-world applications
- High-quality content with hands-on projects
- Bite-sized lessons for flexible learning
- Lifetime access to course materials
- Gamification and progress tracking
- Community-driven learning environment
- Actionable insights and takeaways
- Mobile-accessible and user-friendly platform
Course Outline
Module 1. Introduction to Apache Kafka: History and evolution of Kafka
- What is Apache Kafka?
- History and evolution of Kafka
- Key features and benefits of Kafka
- Use cases and applications of Kafka
- Overview of Kafka architecture and components
Module 2. Kafka Architecture and Components: Topic partitions and replicas
- Broker architecture and components
- Topic partitions and replicas
- Producer and consumer components
- ZooKeeper and its role in Kafka
- Kafka Connect and its applications
Module 3. Kafka Cluster Design and Implementation: Designing a Kafka cluster
- Designing a Kafka cluster
- Configuring Kafka brokers and topics
- Implementing Kafka producers and consumers
- Managing Kafka clusters with ZooKeeper
- Monitoring and troubleshooting Kafka clusters
Module 4. Kafka Producer and Consumer APIs: Producer API and its features, Consumer API and its features
- Producer API and its features
- Consumer API and its features
- Producer and consumer configuration options
- Producer and consumer performance tuning
- Producer and consumer error handling
Module 5. Kafka Streams and Processing: Stream processing concepts and terminology
- Introduction to Kafka Streams
- Stream processing concepts and terminology
- Building and deploying Kafka Streams applications
- Integrating Kafka Streams with other Kafka components
- Monitoring and troubleshooting Kafka Streams applications
Module 6. Kafka Security and Authentication: Authorizing Kafka access with ACLs
- Overview of Kafka security features
- Configuring Kafka security and authentication
- Implementing SSL/TLS encryption in Kafka
- Using Kerberos and SASL for Kafka authentication
- Authorizing Kafka access with ACLs
Module 7. Kafka Monitoring and Performance Tuning: Monitoring Kafka cluster performance
- Monitoring Kafka cluster performance
- Configuring Kafka metrics and logging
- Using Kafka tools for performance tuning
- Optimizing Kafka producer and consumer performance
- Troubleshooting common Kafka performance issues
Module 8. Kafka Integration with Other Systems: Using Kafka Connect for data integration
- Integrating Kafka with Apache Hadoop and Spark
- Integrating Kafka with NoSQL databases and data warehouses
- Using Kafka Connect for data integration
- Integrating Kafka with cloud-based services
- Best practices for Kafka integration and deployment
Module 9. Kafka Use Cases and Applications: Log aggregation and monitoring
- Real-time data processing and analytics
- Event-driven architecture and microservices
- IoT data processing and analytics
- Log aggregation and monitoring
- Machine learning and predictive analytics
Module 10. Kafka Best Practices and Troubleshooting: Upgrading and migrating Kafka clusters
- Best practices for Kafka cluster design and implementation
- Troubleshooting common Kafka issues and errors
- Monitoring and maintaining Kafka cluster health
- Upgrading and migrating Kafka clusters
- Backup and recovery strategies for Kafka