Apache Kafka

Apache Kafka is a distributed platform for publishing, subscribing to, storing, and processing streams of records in real-time.Proficiency in Corporate Apache Kafka development is crucial for building real-time streaming data pipelines and event-driven architectures.

Skilled Kafka professionals can design and implement scalable, fault-tolerant data pipelines, process streaming data for analytics, and build event-driven microservices.

These skills are valuable for roles such as data engineers, system architects, and developers. Mastering Kafka development opens up numerous career opportunities, as its real-time data processing capabilities are increasingly adopted across industries for tasks like monitoring IoT devices, processing user interactions, and analyzing financial transactions.

Syllabus:

• 1) Introduction to Apache Kafka
• Overview of Kafka Architecture
• Core Concepts: Topics, Partitions, Producers, Consumers, Brokers
• Installation and Configuration
• Understanding Kafka's Role in Event Streaming
• 2) Kafka Producer and Consumer
• Writing and Configuring Kafka Producers
• Consuming Data with Kafka Consumers
• Handling Message Serialization and Deserialization
• Configuring Kafka Consumer Groups and Partition Assignments
• 3) Kafka Streams API
• Introduction to Kafka Streams for Stream Processing
• Building Stream Processing Applications with Kafka Streams DSL
• Stateful Stream Processing with Kafka Streams
• Testing and Debugging Kafka Stream Applications
• 4) Kafka Connect
• Overview of Kafka Connect for Data Integration
• Using Kafka Connect Connectors for Data Import/Export
• Customizing and Extending Kafka Connect
• Monitoring and Managing Kafka Connect Clusters
• 5) Kafka Administration and Operations
• Cluster Deployment and Configuration Best Practices
• Monitoring Kafka Clusters with Metrics and Logs
• Scaling Kafka Clusters for Performance and Fault Tolerance
• Backup and Recovery Strategies
• 6) Kafka Security
• Authentication and Authorization in Kafka
• Securing Kafka Clusters with SSL/TLS Encryption
• Using ACLs (Access Control Lists) for Authorization
• Securing Kafka Connect and Kafka Streams Applications