Unity Catalog in Databricks helps teams discover and govern data, but it doesn’t tell you whether that data is actually trustworthy. In this webinar, we’ll show how to monitor data quality directly within a Databricks data catalog using Soda.
Zoom webinar
As AI becomes part of everyday data workflows, data quality can no longer be an afterthought.
Building reliable pipelines requires more than checks—it requires a workflow that can scale, adapt, and be understood by both humans and AI.
Join Santiago for a live session on how Soda CLI helps teams build modern data quality workflows.
Using a real warehouse, he’ll demonstrate how to move from schema discovery to data contracts, anomaly detection, and AI-assisted execution in a single workflow.
This session is for data engineers, analytics engineers, and anyone looking to get ahead with AI-powered data workflows.
In this webinar, Santiago will show you how to:
➤ Connect a data warehouse and discover datasets from the Soda CLI
➤ Generate a data contract directly from a live schema
➤ Add anomaly detection monitors, including both column-level monitors and custom SQL checks
➤ Hand the same workflow to an AI agent and watch it execute the steps autonomously
