Ovi Hutuleac

Data products evolve, and so must their APIs. This session focuses on how Snowflake SPCS empowers developers to host and run data applications, including custom services, directly alongside their data. The core theme is offering your data applications as seamless REST APIs to consumers. We'll show a practical example of wrapping a data product in an API and allowing partners or customers to consume the service instantly via standard HTTP requests, completely bypassing the need for installing connectors and drivers. This approach drastically simplifies consumption and opens new avenues for data monetization and Secure Data Sharing.

Modern data engineering is no longer just about moving data or building static data pipelines; it’s about making data AI ready at scale. In this hands-on workshop, we'll build an end-to-end data pipeline to power an AI agent in Snowflake. We'll use Snowflake Openflow to ingest REST API data and semi-structured documents into Snowflake. We'll define our pipeline objects declaratively, implement Dynamic Tables to quickly transform raw data into structured assets, and use Snowflake CoCo along to way to generate new data models and objects. Finally, we'll build a Cortex Agents and use it with Snowflake CoWork to extract insights from the data via a conversational interface.