IBM Confluent Stream Processing using Apache Kafka Streams
- Code training STREAMSG
- Duur 3 dagen
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Deze training is in de volgende formats beschikbaar:
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Klassikale training
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Virtueel leren
Virtueel leren
Vraag deze training aan in een andere lesvorm.
Trainingsbeschrijving
Naar bovenHarness the power of continuous data processing by building high-performance, event-driven applications with the Apache Kafka® Streams API and ksqlDB.
Learn to design scalable, stateful stream architectures that execute low-latency joins, windowed aggregations, and real-time transformations.
Transform reactive batch workflows into continuous data pipelines that deliver immediate operational insights and maximize business value.
Throughout the course, hands-on exercises reinforce the topics being discussed. Exercises include:
- Scaling a Kafka Streams Application
- Anatomy of a Kafka Streams Application
- Working With JSON
- Windowing & Aggregation
- Joining Two Streams
- Using the Processor API
- Integration Tests Using Embedded Kafka
- Using JConsole to Monitor a Streams App
- Securing a Kafka Streams Application
Updated 16/09/2026
Virtueel en Klassikaal™
Virtueel en Klassikaal™ is een eenvoudig leerconcept en biedt een flexibele oplossing voor het volgen van een klassikale training. Met Virtueel en Klassikaal™ kunt u zelf beslissen of u een klassikale training virtueel (vanuit huis of kantoor )of fysiek op locatie wilt volgen. De keuze is aan u! Cursisten die virtueel deelnemen aan de training ontvangen voor aanvang van de training alle benodigde informatie om de training te kunnen volgen.
Data
Naar bovenDoelgroep
Naar bovenThis course is designed for application developers, architects, DevOps engineers, and data scientists who need to interact with Kafka clusters to create real-time applications using Kafka Streams for filtering, transforming, enriching, aggregating, and joining data streams to discover anomalies, analyze behavior, or monitor complex systems.
Trainingsdoelstellingen
Naar bovenThe lessons and activities in this course enable participants to build the skills to:
- Identify common patterns and use cases for real-time stream processing
- Describe 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 Kafka Streams provide elastic, fault-tolerant and high-performance stream processing capabilities
- Test, secure, deploy, and monitor Kafka Streams applications
Inhoud training
Naar bovenModule1: Introduction to Kafka Streams
- Gain a better understanding of the fundamentals of Apache Kafka
- Delve into how Apache Kafka uses the group management protocol to balance resources
- Give a description of some Stream Processing concepts
Module 2: Working with Kafka Streams
- Describe the anatomy of a Kafka Streams application
- Write streams application employing components of the Kafka Streams DSL (Stateless/stateful transformations Optimizations)
Module 3: Complex Stateful Processing Operations
- Review the concept of time in Apache Kafka Streams
- Use the Kafka Stream stateful operations (Windowing, Aggregations, Joins)
Module 4: Advanced Concepts
- Handle late-arriving events
- Explore foreign key joins in Kafka Streams
- Use the Kafka Streams Processor API
Module 5: Testing, Monitoring, and Troubleshooting
- Perform testing with Apache Kafka Streams
- Evaluate monitoring options with Confluent Control Center, JMX metrics
- Discuss common errors and troubleshooting approaches
Module 6: Deployment
- Discuss deployment strategies (Parallelism, Capacity planning, Elasticity, Fault tolerance)
Module 7: Security
- Explore how to secure Kafka Streams applications (Security overview, Access Control Lists examples)
Voorkennis
Naar bovenAttendees should be familiar with developing professional apps in Java (preferred), .NET, C#, Python, or another major programming language.
Attendees should also have a working knowledge of the Kafka client development. Participants are required to provide a laptop computer with unobstructed internet access to fully participate in the class.
Examen
Naar boven- None
Vervolgtrainingen
Naar boven- None recommended
Aanvullende informatie
Naar boven- Official course book provided to participants
