Apache Kafka For Developers Training Course

by NobleProg (Australia) Claim Listing

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

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img Duration

3 Days

Course Details

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

  • Melbourne Branch

    Suite 51/Level 4, 80 Market Street, Melbourne

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