Confluent Global Training

Learn Apache Kafka® from Confluent, the company founded by Kafka's original developers.

Confluent Stream Processing Using
Apache Kafka® Streams and KSQL

Course Objectives

During this instructor-led, hands-on course, you will learn to:

  • Identify common patterns and use cases for real-time stream processing
  • Understand the high level architecture of Kafka Streams
  • Write real-time applications with the Kafka Streams API to filter, transform, enrich, aggregate, and join data streams
  • Describe how KSQL combines the elastic, fault-tolerant, high-performance stream processing capabilities of Kafka Streams with the simplicity of a SQL-like syntax
  • Author KSQL queries that showcase its balance of power and simplicity
  • Test, secure, deploy, and monitor Kafka Streams applications and KSQL queries

Who Should Attend?

This course is designed for application developers, architects, DevOps engineers, and data scientists who need to interact with Kafka clusters to create real-time applications to filter, transform, enrich, aggregate, and join data streams to discover anomalies, analyze behavior, or monitor complex systems.

Course Prerequisites

Attendees should be familiar with developing professional apps in Java (preferred), .NET, C#, Python, or other major programming language. Participants are required to provide a laptop computer with unobstructed internet access to fully participate in the class.

Additionally, students require a strong knowledge of the Apache Kafka architecture as well as knowledge of Kafka client application development, either through prior experience or by taking the recommended prerequisites, Confluent Fundamentals of Apache Kafka® and Confluent Developer Skills for Building Apache Kafka®.

Confluent offers public training in class, online and on demand. Please visit https://confluent.io/training for more information. For inquiries about on-site training, please email training-admin@confluent.io

Course Duration

This is a three-day training course.

Course Content Overview

  • Motivation and Concepts for Streams
    • Motivation and Use Cases for Real-Time Streaming
    • High Level Comparison of Kafka Streams and KSQL
    • Stream Processing Concepts
  • Kafka Streams Architecture
    • Kafka Streams’ Place in the Kafka Ecosystem
    • High Level Architecture Design
    • Kafka Streams Data Types
  • Writing Kafka Streams Applications
    • Anatomy of a Kafka Streams Application
    • Kafka Streams DSL – Stateless Operations
    • Kafka Streams DSL – Aggregations
    • Kafka Streams DSL – Windowed aggregations
    • Kafka Streams DSL – Joins
    • Kafka Streams DSL – Summary
    • Processor API
    • Optimizations
  • Testing Kafka Streams Applications
    • Unit Tests
    • Integration Tests
    • Stress Tests
    • End-to-end Tests
  • Introduction to KSQL
    • Sample Use Cases
    • End-to-end Examples
    • Interacting with KSQL
  • Using KSQL
    • Data Manipulation
    • Aggregations
    • Testing
  • Deployment
    • Parallelism
    • Elasticity
    • Fault tolerance
    • Capacity planning
    • Troubleshooting
    • KSQL-specific considerations
  • Security
    • Security Overview
    • Access Control
    • Examples
    • KSQL-specific considerations
  • Monitoring
    • JMX
    • Confluent Control Center
    • KSQL-specific Considerations

For a more detailed course outline, please view the course information sheet.

View schedule of classes

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