What features could dbt Labs add to dbt Core to enhance data lineage visualization and impact analysis?

Introduction

To enhance data lineage visualization and impact analysis in dbt Core, we need to consider features that will provide users with deeper insights into their data pipelines and dependencies. This improvement will focus on empowering data teams to better understand, manage, and optimize their data workflows. I'll approach this by examining user needs, current pain points, and potential solutions that align with dbt Labs' broader objectives.

Step 1

Clarifying Questions (5 mins)

• Looking at dbt Core's position in the data engineering ecosystem, I'm curious about the primary use cases driving this improvement initiative. Could you share more about the specific scenarios where users are finding current data lineage and impact analysis capabilities limiting?

Why it matters: Helps focus our solution on the most critical user needs Expected answer: Users struggle with complex dependencies in large projects Impact on approach: Would prioritize scalability and advanced visualization features

• Considering the evolving data landscape, I'm wondering about the integration capabilities of dbt Core. How well does it currently interface with other tools in the modern data stack, and are there any specific integration pain points related to lineage and impact analysis?

Why it matters: Determines if we need to focus on interoperability Expected answer: Some limitations in real-time data flow tracking across tools Impact on approach: Would explore API enhancements and cross-tool data sharing

• Given the critical nature of data lineage in governance and compliance, I'm interested in understanding the current user base composition. What's the split between enterprise users with strict regulatory requirements and smaller teams with more flexible needs?

Why it matters: Influences the balance between advanced features and simplicity Expected answer: Growing enterprise segment with increasing compliance needs Impact on approach: Would consider tiered feature sets with robust audit capabilities

• Thinking about the product lifecycle, where does dbt Core stand in terms of market penetration and user sophistication? Are we looking to attract new users or primarily serve the evolving needs of an established base?

Why it matters: Guides whether to focus on onboarding or advanced capabilities Expected answer: Strong established base, looking to deepen engagement Impact on approach: Would prioritize advanced features for power users