Introduction to Lakebase: What and Why
Establishes what Lakebase is and why it exists as fully managed Postgres on the lakehouse with unified governance. Built on the lecture-demo pattern (teach a concept, immediately run it), the course anchors four canonical use cases — each proven with a named customer story — and a three-signal decision framework for choosing between Lakebase, Delta, and the Lakehouse. It is the entry point for the Lakebase pathway; the use cases and decision tree introduced here are expanded by every later course in the series.
Note: Databricks Academy is transitioning to a notebook-based format for classroom sessions within the Databricks environment, discontinuing the use of slide decks for lectures. You can access the lecture notebooks in the Vocareum lab environment.
The content was developed for participants with these skills/knowledge/abilities:
• Basic SQL (SELECT, INSERT, JOIN) and comfort reading Python
• Familiarity navigating the Databricks workspace and attaching Serverless compute
• Conceptual awareness of the Lakehouse (Delta tables, Unity Catalog) is helpful but not required
• No prior Lakebase or Postgres-on-Databricks experience assumed
Suggested prior courses: none — LB-101 is the entry point for the Lakebase pathway and assumes no earlier course in the series.
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