Live Webinar | How to Implement Data Contracts in Production at Scale | With Q&As

Data contracts let you guarantee the data you publish is exactly what your consumers expect, and prove it. In this webinar, Soda data engineer Paul Teehan explains what data contracts are and demos three ways to run them in production: the CLI, Soda Cloud, and an MCP server driven by AI coding agents like Claude. What's covered: - What a data contract is and why it builds trust in your data - Writing and verifying contracts from the CLI with open-source Soda Core - Editing contracts and using Contract Copilot inside Soda Cloud - Self-hosted runners, so your data never leaves your environment - Driving Soda from AI agents through the MCP server - Contract Autopilot: AI-generated contracts from a validated check library, without surfacing your data to the model - The Diagnostics Warehouse and failed-row collection - Data Standards: apply one set of checks across many datasets - Q&A: dbt tests, Great Expectations, ODCS, schema evolution, scaling to billions of rows, ERP reconciliation, and more Resources: - Soda AI: https://soda.io/product/soda-ai - Contract templates: https://soda.io/templates - Questions or enterprise access: https://soda.io/demo?utm_source=youtube&utm_medium=organic&utm_campaign=&utm_content=book_demo