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Confluent: Clickstream Data Analysis Pipeline Using ksqlDB

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Confluent: Clickstream Data Analysis Pipeline Using ksqlDB

1 heure 7 crédits

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.

GSP731

Google Cloud Self-Paced Labs

Overview

This lab will cover how to create a clickstream data analysis pipeline using ksqlDB. First, you will run multiple Docker containers and create source connectors that generate clickstream data, which you will be able to view in the Confluent Control Center UI. You will then load the data into ksqlDB, and verify that it is being streamed through various tables and streams. Next, you will send the ksqlDB tables to Elasticsearch and Grafana via the ksqlDB REST API. Lastly, you will view the streaming data in the Grafana dashboard.

Objectives

In this lab, you will:

  • Download and run the Confluent tutorial

  • Create mock clickstream data

  • Load the streaming data to ksqlDB

  • Send the ksqlDB tables to Elasticsearch and Grafana

  • Sessionize the data

  • View the data in Grafana

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