Introduction to Databricks Lakebase
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Learning Track
Data Engineering
Delivery methods
On-Site, Virtual
Duration
1 day
Course outline
- What is Lakebase and why it matters
- How Lakebase differs from other OLTP systems
- Key benefits: Serverless, integrated, scalable
- Lab: Explore Lakebase in the Databricks workspace
- Separation of compute and storage (Neon)
- Features: Low latency, high concurrency, autoscaling
- Advanced: Branching, HA, recovery
- Lab: Create a database branch and test queries
- Provisioning a Lakebase instance
- Basic settings and best practices
- Lab: Create an instance and run SQL queries
- Sync modes: One-off, triggered, continuous
- Reverse ETL with Lakebase
- Lab: Continuous sync from a Unity Catalog table
- Use cases: Feature serving, real-time apps, AI agents
- Integration with Databricks Apps
- Developer tools: SQL editor, notebooks, branching
- Lab: Build a simple app connected to Lakebase
- Unity Catalog integration
- Access controls, network security
- Monitoring and metrics
- Lab: Configure permissions and review audit logs
- Examples in e-commerce, healthcare, and finance
- Best practices for adoption
- Discussion: Participant-specific scenarios
