Deeper into Dataform 1: Exploring the API
The article discusses the capabilities of Dataform's API for users looking to enhance their data engineering workflows. It highlights key components such as CompilationResult and WorkflowInvocation, which are essential for automating processes. The integration of these components allows for the creation of CI/CD pipelines and efficient management of data workflows.
- ▪Dataform's API enables users to explore advanced functionalities beyond its core features.
- ▪The API includes two main objects: CompilationResult and WorkflowInvocation, crucial for workflow management.
- ▪Combining these objects allows for automation of Dataform DAGs, facilitating CI/CD processes.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3947768) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Ben Watson Posted on May 24 Deeper into Dataform 1: Exploring the API #dataform #dataengineering #gcp #bigquery Series overview This series of blog posts is aimed at Dataform users who are looking to explore beyond its core functionality. Among other things we'll dig into Dataform's powerful API, create automated CI/CD processes in GitHub Actions, build pipelines to monitor costs, and modify the config {} block through code.
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