Kensu Documentation

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Getting started with the Kensu Community Edition
Marketing campaign
Financial data report
Getting credentials
Recipe: Observe Your First Pipeline
Agents: getting started
Python
PySpark
Scala Spark
Databricks Notebook
Agent Listing
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1min

Getting started with the Kensu Community Edition

Welcome to the journey through the Kensu Community Edition! 😀

We have listed some examples so that you can start with Kensu. All examples include real-life code examples and data that you will observe with Kensu.

You can choose any of the following use cases to start:

  • Marketing campaign : you will use data observability to detect issues at run time and set additional rules to prevent any further issues in a marketing campaign project. This example needs docker and will run a python and dbt with Postgres pipeline.
  • Financial data report: you will be a data engineer in charge of monitoring a data pipeline providing financial data. The pipeline runs python pandas and/or pyspark scripts. This example can be run with a local python environment or with docker.



We would like to thank you for test driving Kensu and would like to hear your feedback via the button on the bottom-right of the application. We’ll make sure to address your questions and requests.

Updated 21 Nov 2022
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