From Legacy System to Any Cloud Data Platform using AI Agents

The migration you shelved is now a project of months, not years.

Many organizations still run their most important data workloads on Oracle Exadata, Teradata, Netezza or SAS. Moving them to BigQuery, Databricks or Snowflake is a big opportunity, and a big challenge. That is why so many of these migrations stay on the shelf.

What makes legacy migrations hard:

• Documentation is missing or out of date
• Business logic is hidden in thousands of scripts, stored procedures and ETL jobs
• The people who built the system have long gone, and all they left behind are a few comments in the code
• One small mistake can break the reports the business reads every day

We will present how to combines AI agents with deterministic methods and native migration tooling across three phases: assessment, migration, and data reconciliation with semantic validation. In this webinar you will see it applied to real legacy migration cases, step by step, including the complex, undocumented logic that usually blocks these projects. The method works regardless of the source system and the target platform.

What you will take away

• What a full scan of your legacy estate tells you about workloads, lineage and cost
• How AI agents convert and validate SQL, ETL and orchestration logic in parallel, and what keeps it reliable
• How to prove at scale that the new platform returns the same data, in the numbers and in their business meaning
• Which work still needs people, and roughly how much of it there is
• What a realistic timeline and budget look like before you approve a migration

👉 Register to join live on Zoom: https://events.xebia.com/cloud-data-modernization/legacy-migration-ai-agents-axis-webinar