Discover how modern data engineering teams accelerate development with AI in this interactive virtual hands-on lab. You’ll learn how Coalesce helps unlock the full power of Snowflake by combining standardized, reusable components with rapid AI-generated code.
Through guided exercises, you’ll explore the Coalesce interface, use natural language prompts to transform and model data, and practice generating, building, reviewing, and refining production-ready pipelines. You’ll also gain hands-on experience working with rich column-level metadata and learn how to confidently read, maintain, and support your pipelines in a workflow purpose-built for data engineers.
You’ll learn:
- How Coalesce accelerates data engineering workflows with AI
- How to use natural language prompts to transform and model data
- How standardized components simplify pipeline development in Snowflake
- Best practices for generating, reviewing, and refining AI-created pipelines
- How to work with and leverage rich column-level metadata
- Techniques for confidently reading, supporting, and maintaining pipelines
- How to build scalable, production-ready data workflows faster with Coalesce AI
Whether you’re new to Coalesce or looking to streamline pipeline development, this lab provides practical experience building faster, smarter, and more scalable data workflows with AI.
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