Work with data¶

Tinybird provides comprehensive tools and strategies for working with your data throughout its lifecycle - from querying and processing to organizing and deploying data projects. Here's what you can do:

Query your data¶

Explore and manipulate your ingested data through powerful tools like Data Flow visualization, SQL Playgrounds for testing queries, and Time Series analysis. Use query parameters and follow SQL best practices to build efficient data pipelines.

Process and copy data¶

Transform and move your data using Copy Pipes for scheduled snapshots, Materialized Views for real-time transformations, and Populate operations for controlled partition-by-partition transfers. Each approach serves different use cases while maintaining data integrity.

Organize your work¶

Leverage Git integration and version control to manage your data projects like software. Use branches for isolated environments, implement CI/CD pipelines, and follow established development practices. This allows teams to enforce standardized processes for code reviews, testing, and deployment.

Implement strategies¶

Develop clear approaches for testing data pipelines, deploying changes safely, managing backfills and migrations, and integrating external data. These proven strategies help ensure data quality and smooth operations when working with high-volume, real-time data processing.