SEPT 30 | LONDON
Meet Astronomer at Snowflake World Tour - London
Astro is the unified orchestration platform for Apache Airflow®. Build data, ML, and AI pipelines faster, scale reliably, and monitor everything in one place.
Featured Session
Hear From Our Speaker
Yetunde Dada
Senior Director of Product, Astronomer
Orchestrating Snowflake Data and AI Pipelines with Apache Airflow
In production AI systems, the model is just one box in a much bigger picture. Data quality, context, human judgment, and orchestration all sit alongside it. This session builds that picture on Snowflake and Apache Airflow through two production pipelines.
One handles the ETL/ELT side with the Snowflake provider using the SQLExecuteQueryOperator and validating with SQL data quality operators, then feeds that data into multimodal analysis against Snowflake Cortex through @task.llm with structured Pydantic output, provided by Airflow's Common AI provider.
The other adds an AgentOperator with tool access to draft support responses, an LLM-as-judge to score them, and a HITLOperator for human approval. Concrete patterns for running Snowflake ETL/ELT and AI pipelines side by side, observable, retryable, and auditable in production.
ASTRO + Snowflake
Simplify and scale your Snowflake pipelines with Astro.
Build sophisticated AI/ML workflows on Snowflake.
Deploy AI/ML pipelines with fresh data for Snowpark and Cortex. Accelerate model development while maintaining governance within your Snowflake environment.
Gain complete visibility across your data ecosystem.
Track your entire data pipeline in one unified interface. Reduce MTTR by 60%, quickly troubleshoot issues, and deliver reliable data to stakeholders when they need it.
