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Confluent Stream Processing using Apache Kafka Streams & KSQL

  • Tuition USD $2,475
  • Reviews star_rate star_rate star_rate star_rate star_half 329 Ratings
  • Course Code AK-STREAM
  • Duration 3 days
  • Available Formats Classroom, Virtual

In this three-day, hands-on training 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 learn to use the Streams library to build applications, and then learn how to test, monitor, secure, scale and integrate them.

Skills Gained

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 Apache 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 Can Benefit

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.

Prerequisites

Attendees should be familiar with developing professional apps in Java (preferred), .NET, C#, Python, or another 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 Kafka architecture as well as knowledge of Kafka client application development, either through prior experience or by taking the recommended prerequisites, Confluent Fundamentals for Apache Kafka® and Confluent Developer Skills for Building Apache Kafka.

Course Details

Hands-on Training

Throughout the course, you will interact with hands-on lab exercises to reinforce stream processing concepts. Some exercises include:

  • Anatomy of a Kafka Streams Application
  • Joining Two Streams
  • Using the Kafka Streams Processor API
  • Testing a Kafka Streams Application
  • Using KSQL
  • Using the KSQL REST API
  • Scaling a Kafka Streams Application
  • Securing a Kafka Streams Application
  • Getting Metrics from a Kafka Streams Application
  • Using JConsole to monitor a Kafka Streams Application
  • Monitoring a Kafka Streams Application in Confluent Control Center

Course Outline

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

  • Get streams of data into and out of Kafka with Kafka Connect and REST Proxy
  • Maintain data formats and ensure compatibility with Schema Registry and Avro
  • Build real-time streaming applications with Confluent KSQL & Kafka Streams

The Confluent Platform

  • 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

How do I enroll?

A comprehensive listing of ExitCertified courses can be found here. You can register directly for the required course/location when you select "register". If you have any questions or prefer to speak with an ExitCertified education consultant directly, please submit your query here. A representative will contact you shortly.

How do I pay for a class?

You can pay at the time of registration using credit card (Mastercard/Visa/American Express) cheque or PO.

What if I have training credits?

ExitCertified honors all savings programs from the partners we work with. ExitCertified also offers training credits across multiple partners through our FLEX Account.

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Lunchtime?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

Tech Data provided me with all the resources required to familiarize myself with the TRIRIGA Lease module. The facilitator was very knowledgeable and provided comprehensive exercises and support to aid in my understanding of the application.

Class material was clear and well communicated. Virtual setup was easy. Plenty of material was provided ahead of time. Sean was a fantastic instructor.

Great facility with good selection of drinks and small snacks. Equipment also worked flawlessly.

Just finished up a course taught by Sean Mohseni. Excellent instructor. If you can find a course he's teaching, its well worth it.

Very educational and enjoyable. Format was excellent; recommend to anyone who wants to get serious about learning AWS.

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    iMVP
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