Deploy AI-Powered Data Pipelines with Snowflake and dbt Labs

Are you struggling to extract actionable insights from diverse unstructured and semi-structured data?

Working with unstructured and semi-structured data can lead to complex pipelines, slower processing times and data quality issues. By upgrading to a fully integrated development process, you can streamline your ETL processes without compromising data integrity.

Join Snowflake and dbt Labs on 19 June to discover how to build AI-powered data pipelines and learn to extract valuable insights from your complex data sources.

In this 60-minute session, we’ll guide you through real-world implementation. Witness firsthand how to transform raw, complex data into actionable business intelligence using a seamless Snowflake and dbt integration.

You’ll learn how to:

• Extract entities using AI and LLM capabilities directly within Snowflake to pull key information from unstructured and semi-structured data
• Automate AI pipelines using dbt for consistent and reliable data transformations.
• Enhance data quality and observability by implementing methods to improve data quality and gain clear visibility across your entire pipeline.
• Materialise extracted insights into Snowflake tables, ready for powerful analytics.

In partnership with