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Load and Transform Data in BigQuery, the Highly Scalable Multi Cloud Data Warehouse

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Astro + Google BigQuery

Orchestrate data transformations in BigQuery with Astro, the modern data orchestration platform powered by Apache Airflow. Astro’s Google provider offers a variety of specialized tools to control actions in your BigQuery data warehouse. This helps you build pipelines faster, run at scale with confidence, and make sense of your entire data ecosystem, without vendor boundaries. With Astro’s integrated development tools, you can build ELT pipelines with just SQL, eliminating boilerplate Python code and make orchestrating BigQuery operations more accessible for all data practitioners.

Google BigQuery

About Google BigQuery

BigQuery is widely used to store large quantities of data by organizations across industries. Benefit from storing your data securely and readily accessible to Astro and the wider Google Cloud ecosystem. By combining BigQuery with Astro you get a home for your data that is scalable, contains built-in machine learning features, and offers powerful resources to run complex queries at record speed.


Use Case

Implementing modern ELT patterns that leverage the power of BigQuery’s compute resources is one of the most common use cases for data orchestration. With Astro, running your transformations in BigQuery is more cost-effective with readily available async support, more observable with integrated OpenLineage, and easier to implement with the Astro SDK for next-generation DAG authoring. You’ll have real-time, operational understanding of your data warehouse integrated with your entire data platform.

See Astro in Action: Get a demo that’s customized around your unique data orchestration workflows and pain points.

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