in partnership with Databricks
A live fireside chat, not a slideware pitch. Join Databricks, AON, and KPI Partners for a candid conversation about what an Oracle to Databricks migration actually takes: how the business case gets funded, how workloads are sequenced so reporting never goes dark, and where migrations stall. Then watch a live demo of automated schema, PL/SQL, and ETL conversion.
Free registration. Live, with a recording sent to everyone who registers.
Limited live Q&A capacityA calendar invite and join link are on the way to your inbox. Forward it to a colleague who is staring down an Oracle renewal.
Migrating off Oracle is rarely blocked by technology. It stalls on business cases that do not close, workloads nobody wants to touch, and reporting that cannot go dark for a quarter. Here is how teams get past all three.
How the Oracle exit gets framed in terms a CFO signs off on: license and infrastructure cost, capacity headroom, and an AI roadmap the current estate cannot carry.
Which workloads move first, which move last, and how to phase a migration so the business never loses a reporting cycle along the way.
How automated conversion handles schemas, PL/SQL, and ETL logic so decades of embedded business rules survive the move intact instead of being reinterpreted by hand.
Reconciliation and validation: how to demonstrate that output on Databricks matches output on Oracle before anyone agrees to switch the old platform off.
What changes for analysts and engineers once data sits in the lakehouse under Unity Catalog governance, and how the operating model and team shapes shift.
AON shares the journey first hand: what was harder than expected, what moved faster than planned, and what they would sequence differently next time.
What Databricks sees across its global partner migration program: the triggers, the patterns, and how the effort curve has changed in the last 18 months.
The drivers behind the decision, how it was framed to the business, and what the first 90 days actually looked like.
Where estimates go wrong, how to handle the PL/SQL and reporting layer nobody wants to touch, and what separates a migration that lands from one that stalls.
One real Oracle workload, end to end: automated assessment, converted schema and PL/SQL, reconciliation output, and the result running on Databricks.
This session is built to accelerate lakehouse conversations with data and IT leaders who are still anchored to Oracle Database, Exadata, OBIEE, or ODI. Bring a customer and give them a credible, peer-proven path off the estate they are already paying to maintain.
See what an Oracle to Databricks migration looks like from the inside, with Databricks, AON, and KPI Partners.
Register free
