Google Dataform is a tool designed to develop and operationalize scalable data transformation pipelines in BigQuery using SQL. It enables collaboration between data analysts and engineers, simplifies data processing architecture, and supports best practices in software engineering.

Key Features

• Collaboration: Enables data analysts and engineers to collaborate on the same repository.
• Pipeline Management: Builds scalable data pipelines in BigQuery using SQL.
• Integration: Integrates with GitHub and GitLab for version control.
• Infrastructure Management: Keeps tables updated without requiring infrastructure management.
• Open Source: Dataform Core is open source, allowing local use without lock-in.
• SQL Pipelines: Abstracts away the complexity of building SQL pipelines.
• Quality Assurance: Configures data quality tests and manages dependencies.
• Scheduling: Triggers SQL workflows manually or schedules them via third-party services.

Benefits

• Simplified Architecture: Simplifies data processing architecture by using a single environment for SQL pipeline development.
• Best Practices Adoption: Adopts software engineering practices like version control, testing, and documentation for managing SQL code and data assets.
• Efficient Collaboration: Enhances collaboration among data teams using established software development practices.