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 how to use Confluent KSQL to transform, enrich, filter and aggregate streams of real-time data using a SQL-like language. You will also learn how to use the Apache Kafka Streams library to build streaming applications. Furthermore, you will learn how to test, monitor, secure and scale those streaming applications. You will learn how these applications integrate with the Confluent Platform powered by Apache Kafka, Kafka Connect, Confluent Schema Registry, Confluent REST Proxy as well as the ConfluentControlCenter. You will learn the role of streaming in the modern data distribution pipeline, discuss architectural concepts and components of KSQL and Kafka Streams.

Who Should Attend?

This course is designed for application developers, ETL (extract, transform, and load) developers, DevOps engineers and data scientists who need to interact with Kafka clusters as a source of real-time data streams, and transform, enrich and join those streams to discover anomalies, analyze behavior or monitor complex systems.

Course Prerequisites

Attendees should be familiar with developing in Java (preferred),.NET or Python. Attendees should also be familiar with the essentials of Apache Kafka. Participants are required to provide a laptop computer with unobstructed internet access to fully participate in the class.

Course Duration

Three days.

Course Content Overview

  • Fundamentals
  • KSQL Use Cases
  • KSQL Overview and Ecosystem
  • Installing KSQL
  • Using KSQL
  • Deploying and Operating KSQL
  • Kafka Streams Architecture
  • Kafka Streams Application Anatomy
  • Kafka Streams DSL
  • Testing Kafka Streams Apps
  • Monitoring Kafka Streams Apps
  • Securing Kafka Streams Apps
  • Sizing & Scaling Kafka Streams Apps
  • Using the KSQL REST API
  • An Introduction to Kafka Streams for Data Processing

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

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