Accelerating ETL Modernization with a Risk-Free Databricks Migration
Legacy ETL platforms weren’t built for today’s data volumes. They’re slow, expensive to maintain, and hard to scale. Moving to Databricks is the obvious fix—but the fear of breaking pipelines, data loss, or months of downtime keeps teams stuck.
This session shows you a better way.
We walk through a structured, repeatable approach to migrating existing ETL workloads to Databricks using Lakebridge. No rip-and-replace chaos. No long freezes on new development. Just a clear path from legacy to modern, with guardrails the whole way.
What you’ll see and learn:
Why most ETL migrations stall (and how Lakebridge changes that)
We start with the hard truth: why “lift and shift” fails, why big-bang migrations scare stakeholders, and how a discovery-led approach keeps projects moving.
We start with the hard truth: why “lift and shift” fails, why big-bang migrations scare stakeholders, and how a discovery-led approach keeps projects moving.
A blueprint that actually works
Step-by-step: from assessing your current ETL footprint to mapping, migrating, and validating workloads—without guesswork or rework.
Step-by-step: from assessing your current ETL footprint to mapping, migrating, and validating workloads—without guesswork or rework.
Live demo: ETL to Databricks in action
Watch us take a real, working ETL pipeline from a legacy platform and bring it into Databricks using Lakebridge. See exactly what moves over, what gets transformed, and how we validate it’s working correctly.
Validation without the risk
Learn how to compare pre- and post-migration outputs, catch discrepancies early, and prove success to stakeholders before fully cutting over.
Learn how to compare pre- and post-migration outputs, catch discrepancies early, and prove success to stakeholders before fully cutting over.
Phasing, optimizing, and knowing when to stop
Not every ETL needs to move on day one. We cover how to prioritize, when to optimize vs. replicate, and how to know the migration is truly done.
Designed for IT leaders, data architects, and engineering teams who know they need to modernize—but can’t afford to get it wrong.
Stop maintaining. Start migrating.