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Online Talk

Stream Processing with Kafka Streams

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Available On-Demand

An event streaming platform would not be complete without the ability to manipulate that data as it arrives. The Streams API within Apache Kafka is a powerful, lightweight library that allows for on-the-fly processing, letting you aggregate, create windowing parameters, perform joins of data within a stream, and more. Perhaps best of all, it is built as a Java application on top of Kafka, keeping your workflow intact with no extra clusters to maintain.

Register now to learn:

  • Describe the purpose of Kafka Streams
  • Understand how Kafka Streams integrates with your applications
  • Explain the features of Kafka Streams
  • Describe an application using the Streams DSL (Domain-Specific Language)

This session is part 2 of 3 in our Stream Processing Fundamentals series.

Additional Resources

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Confluent Cloud Demo

Join us for a live demo of Confluent Cloud, the industry’s only fully managed, cloud-native event streaming platform powered by Apache Kafka
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Kafka Microservices

In this online talk series, learn key concepts, use cases and best practices to harness the power of real-time streams for microservices architectures
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See how five organizations across a wide range of industries leveraged Confluent to build a new class of event-driven microservices