Navigating the Modern Data Stack with Open Source Headless BI

on YouTube ↗29m

" summary

Headless BI extracts the semantic layer — data model as code, access control, caching/pre-aggregations and an API — and serves it upstream so multiple consumers share a single source of truth. Compute stays live in the warehouse (Snowflake, BigQuery, Redshift, ClickHouse, Databricks) while pre-aggregations and partitioned refresh (cron or Airflow) speed embedded analytics. Multi-tenancy runs via signed JWT tokens to branch or mask models per tenant, and APIs include SQL/GraphQL so dashboards and apps get consistent, versioned metrics with CI/CD workflows.

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" chapters (6)

1. 0:00Intro
2. 0:52What is Headless BI
3. 5:45LookML
4. 10:02Why Open Source
5. 13:35Architecture
6. 23:00Questions

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