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Creating a Streaming Data Pipeline With Apache Kafka

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Checkpoints

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Creating a Apache Kafka deployment manager

Configure the Kafka VM instance

Create topics in Kafka

Process the input data with Kafka Streams

Creating a Streaming Data Pipeline With Apache Kafka

45 minutes 5 Credits

This lab was developed with our partner, Confluent. Your personal information may be shared with Confluent, the lab sponsor, if you have opted-in to receive product updates, announcements, and offers in your Account Profile.

GSP 730

Google Cloud Self-Paced Labs

Overview

In this lab, you create a streaming data pipeline with Kafka providing you a hands-on look at the Kafka Streams API. You will run a Java application that uses the Kafka Streams library by showcasing a simple end-to-end data pipeline powered by Apache Kafka®.

Objectives

In this lab, you will:

  • Start a Kafka cluster on a Google Compute Engine (GCE) single machine

  • Write example input data to a Kafka topic, using the console producer included in Kafka

  • Process the input data with a Java application called WordCount that uses the Kafka Streams library* Inspect the output data of the application, using the console consumer included in Kafka

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