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Month: May 2022

  • data testing
  • Great Expectations

Run Great Expectations workflow using GitHub Actions

In this post, we will help you run one Great Expectations test as part of your CI/CD pipeline using GitHub Actions. This post is second in our series to help testers implement useful tests with Great Expectations for data validation. If your instinct says that adding a single test to a CI/CD pipeline should not be the next part, read […]

May 25, 2022
  • Continuous Integration
  • Github action
  • pytest
  • python

GitHub Actions to execute tests against localhost

Do you want to setup a GitHub Actions to execute some tests against localhost at CI stage for every branch? Background In this post, we will discuss how we at Qxf2 have setup a GitHub Actions to execute selenium tests against localhost at the CI stage for every branch and the errors that we faced while setting up and how […]

May 17, 2022May 27, 2022
  • data testing
  • Great Expectations

Data validation using Great Expectations with a real-world scenario: Part 1

I recently started exploring Great Expectations for performing data validation in one of my projects. It is an open-source Python library to test data pipelines and helps in validating data. The tool is being actively developed and is feature rich. At Qxf2, we feel that this tool has a lot of potential to help testers that need to grapple with […]

May 2, 2022October 28, 2024

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