Intermediate 2 daysSTREAMSG

Confluent Stream Processing using Apache Kafka Streams

Confluent · Data, Analytics, and AI

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Course Overview

Transform continuous data streams into high-impact, real-time business value using scalable, stateful event-driven architectures built with Kafka Streams and ksqlDB.

Harness 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.

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 using Kafka Streams for filtering, transforming, enriching, aggregating, and joining 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. 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.

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Course Details

Course Code: STREAMSG
Level: Intermediate
Duration: 2 days
Brand: Confluent
Category: Data, Analytics, and AI

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Contact our IBM-certified training team for availability, group rates, and scheduling.

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