Better Migrations with Lakebridge
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Learning Track
Data Engineering
Delivery methods
On-Site, Virtual
Duration
1 day
This course teaches data professionals how to streamline migrations from legacy warehouses to Databricks using Lakebridge, an open-source toolkit for assessment, code conversion, and validation. Learners will gain practical strategies and confidence for executing high-quality migrations.
Learning Objectives
- Explain Lakebridge’s role in migration projects
- Assess legacy environments and estimate migration complexity
- Convert SQL/ETL code with BladeBridge and Morpheus
- Validate data with reconciliation tools
- Apply best practices to plan and execute migrations
Audience
- Data engineers and system integrators
- Architects and leads overseeing migration projects
Prerequisites
- Knowledge of SQL-based warehouses (e.g., Teradata, Oracle, Snowflake)
- Familiarity with Databricks SQL and Lakehouse basics
Course outline
- What Lakebridge is and why it matters
- Key advantages and limitations
- Profiling environments and dependencies
- Estimating cost and effort
- BladeBridge converter
- Morpheus transpiler and dbt support
- Schema, column, and row-level validation
- Tracking mismatches and quality
- End-to-end migration workflow
- Phased modernization strategies
- Reporting and dashboards
- Enterprise adoption examples
- Tool selection guidance
- Complementary approaches
