CI/CD in data engineering - help a noob

This page summarizes the projects mentioned and recommended in the original post on /r/dataengineering

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  • dbt-fal

    Discontinued do more with dbt. dbt-fal helps you run Python alongside dbt, so you can send Slack alerts, detect anomalies and build machine learning models.

  • Thanks! I am resisting the urge to add airflow to my project, not sure for how long. I have a setup without an orchestrator (airbyte + dbt). So far I am able to shoehorn everything into my setup using airbyte scheduled syncs and invoking dbt directly from there. We have our in house tool that we use for scripts (datascience workflows) we run after dbt.

  • dbt-expectations

    Port(ish) of Great Expectations to dbt test macros

  • There are certain things I would like to add such as data quality, I can use something like dbt great expectations, but I am not sure how much more I should force it before getting an airflow setup..

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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