Session

Scaling Trust in BI: How Bolt Manages Thousands of Metrics Across Databricks, dbt, and Looker

Overview

ExperienceIn Person
TypeBreakout
TrackAnalytics and BI
IndustryEnergy and Utilities, Enterprise Technology, Retail and CPG - Food
TechnologiesAI/BI, Databricks SQL, Databricks Workflows
Skill LevelIntermediate
Duration40 min

Managing metrics across teams can feel like everyone’s speaking a different language, which often leads to loss of trust in numbers. Based on a real-world use case, we’ll show you how to establish a governed source of truth for metrics that works at scale and builds a solid foundation for AI integration. You’ll explore how Bolt.eu’s data team governs consistent metrics for different data users and leverages Euno’s automations to navigate the overlap between Looker and dbt. We’ll cover best practices for deciding where your metrics belong and how to optimize engineering and maintenance workflows across Databricks, dbt and Looker. For curious analytics engineers, we’ll dive into thinking in dimensions & measures vs. tables & columns and determining when pre-aggregations make sense. The goal is to help you contribute to a self-serve experience with consistent metric definitions, so business teams and AI agents can access the right data at the right time without endless back-and-forth.

Session Speakers

Sarah Levy

/Co-Founder & CEO
Euno

Silja Märdla

/Staff Analytics Engineer
Bolt