Branching Workflows

Turns copy-on-write branching into everyday practice. Following the lecture-demo pattern, learners create branches four ways, recover data with point-in-time branches, manage the branch lifecycle (protect, reset, delete), and choose a branching strategy with per-workload TTLs — including branch-per-PR CI/CD. Branches are the feature that lets developers pair a code branch with a database branch. Two real OrderOps admin apps, one bound to each branch, make isolation tangible: learners edit orders in each app and prove changes never cross branches, then graduate a schema change from the dev branch to production by re-running the migration and shipping the new app version.

Skill Level

Associate

Duration

Prerequisites

The content was developed for participants with these skills/knowledge/abilities:

• Comfort with the Python SDK and basic SQL

• Ability to create and connect to a Lakebase project (from LB-103)

• Understanding of copy-on-write branching at a conceptual level (from LB-102)

Suggested prior courses: LB-103 First Steps (create, connect, query) and LB-102 Architecture Deep Dive (the copy-on-write concept this course operationalizes). LB-101 for overall context.

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Upcoming Public Classes

Connecting and Authentication Patterns

Makes Lakebase connections production-grade. Following the lecture-demo pattern, learners compare OAuth tokens and native passwords, handle the 60-minute token lifetime with refresh, and build a token-refreshing connection pool in both SQLAlchemy and raw psycopg — sized against the endpoint's connection ceiling and observed through pg_stat_activity. The course concludes with the Lakebase Data API, showing how the authenticator role brokers identity via SET ROLE to enforce the same privilege model over HTTP.

Paid & Subscription

Lab

Associate

Autoscaling and Scale-to-Zero

Turns the compute/storage split into a cost lever. Following the lecture-demo pattern, learners diagnose a fixed-compute bill, configure the autoscaling CU range, enable scale-to-zero with the right timeout, weigh the HA cold-start trade-off, and apply per-branch configs across production, dev, and agent-test to compute the resulting monthly bill.

Paid & Subscription

Lab

Associate

Monitoring and Observability with System Tables

Comprehensive auditing, monitoring, and observability using system tables, query history analysis, and proactive alerting for DBSQL environments.

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.

Paid & Subscription

Lab

Associate