Apache Kafka is an open-source distributed event streaming platform that provides tools for building real-time streaming data pipelines and applications. This instructor-led, live training (online or onsite) is aimed at intermediate-level developers who wish to develop big data applications with Apa
Overview
Apache Kafka is an open-source distributed event streaming platform that provides tools for building real-time streaming data pipelines and applications. This instructor-led, live training (online or onsite) is aimed at intermediate-level developers who wish to develop big data applications with Apache Kafka.
By the end of this training, participants will be able to:
Develop Kafka producers and consumers to send and read data from Kafka.
Integrate Kafka with external systems using Kafka Connect.
Write streaming applications with Kafka Streams & ksqlDB.
Integrate a Kafka client application with Confluent Cloud for cloud-based Kafka deployments.
Gain practical experience through hands-on exercises and real-world use cases.
Format Of The Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
Course Outline
Introduction
Overview of Apache Kafka
Introduction to event streaming and real-time data processing
Overview of Apache Kafka and its features
Use cases and benefits of Kafka in modern application development
Understanding Kafka Architecture and Core Concepts
Kafka architecture: brokers, topics, partitions, and replicas
Producers and consumers: publishing and consuming messages
Understanding the role of ZooKeeper in Kafka
Kafka Topics and Partitions
Topic creation and configuration
Understanding partitions and their implications
Replication and fault-tolerance in Kafka
Kafka Producers
Creating Kafka producers using various programming languages
Message serialization and serialization techniques
Producer configurations and best practices
Kafka Consumers
Developing Kafka consumers using different programming languages
Configuring consumer groups and offsets
Strategies for message processing and delivery guarantees
Integrating Kafka with External Systems using Kafka Connect
Overview of Kafka Connect and its connectors
Configuring and using Kafka Connect for data integration
Integrating Kafka with external systems
Writing Streaming Applications with Kafka Streams & ksqlDB
Introduction to Kafka Streams and its stream processing capabilities
Developing stream processing applications with Kafka Streams
Using ksqlDB for real-time data processing and analytics
Integrating a Kafka Client Application with Confluent Cloud
Overview of Confluent Cloud and its features
Configuring and connecting a Kafka client application with Confluent Cloud
Kafka Security
Introduction to Kafka security features
Configuring SSL/TLS for secure communication
Authentication and authorization mechanisms in Kafka
Monitoring and Operations
Monitoring Kafka using metrics and tools
Managing Kafka clusters and resources
Troubleshooting common issues and performance tuning
Best Practices and Real-world Use Cases
Best practices for designing Kafka-based applications
Case studies and examples of Kafka implementations in various industries
Best practices for building scalable and fault-tolerant Kafka architectures
Requirements
Basic programming knowledge
Audience
Developers
Programmers
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