Remove building-ci-cd-with-airflow-gitlab-and-terraform-in-gcp
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Building CI/CD with Airflow, GitLab and Terraform in GCP

Ripple Engineering

This means we need to build better, more configurable and more collaborative tooling that prevents code collisions and enforces software engineering best practices. For our data applications, we use: Airflow - to manage data services through GCP. For our data applications, we use: Airflow - to manage data services through GCP.

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The Spiritual Alignment of dbt + Airflow

dbt Developer Hub

Airflow and dbt are often framed as either / or: You either build SQL transformations using Airflow’s SQL database operators (like SnowflakeOperator ), or develop them in a dbt project. You either orchestrate dbt models in Airflow, or you deploy them using dbt Cloud. Let’s use GCP’s logging alerts to send emails.