Fireside chat: Rethinking the Semantic Layer | June 16

Fireside chat: Rethinking the Semantic Layer- The Builders Response | June 16 | 9am PT

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Skills for Claude

Quality Checks With Bauplan and Claude Code

In this video we add quality checks to a data pipeline with Bauplan and Claude Code. We walk through the IDE setup, the Bauplan skill installation, generate an expectations file, and catch a real enum mismatch in the source data before anything materializes to the lakehouse.

Chapters

0:00 - The IDE environment and Bauplan skills for Claude Code

1:16 - Assessing the pipeline's quality needs

1:49 - Creating the quality checks Python file

2:39 - Testing the pipeline with the quality checks

Rethinking the Semantic Layer- Part II: The Builders Response

Quality Checks With Bauplan and Claude Code

Data Assessment With Bauplan and Claude Code

Fixing Data Pipelines with Bauplan and Claude Code

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How to Make Your Data Science Reproducible (and Why You Should Care)

Are your Data Pipelines Complex?

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Trusting AI with Your Data: Safe Automation from Branch to Production

Python Based Data Infra for AI Agents

Rethinking the Semantic Layer in an Agent-Native Data Stack

Ingest S3 Data Safely with Bauplan Skills for Claude Code

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Explore Production Data Safely with ClaudeCode and Bauplan