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- Documentation is missing or out of date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 a real migration of an Oracle warehouse, step by step. The method works regardless of 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
When: 25th of November, 14:00 CET | 13:00 GMT | 18:30 IST | 8:00 EST
👉 Recording available for registered participants
Duration: 1h, Online on Zoom or LinkedIn
Meet the Speakers:
Marek Wiewiórka
Chief Data Architect, Xebia
Assistant at Warsaw University of Technology
Marek is a seasoned Big Data and Cloud Architect with 15+ years of experience in designing and implementing modern data and MLOps platforms. Currently, he is the Chief Data Architect at Xebia, and a Research Assistant at Warsaw University of Technology, putting the finishing touches to his PhD dissertation. Privately - a keen long-distance runner, gravel bikes enthusiast, and absolutely in love with the Italian Lakes!
Radosław Szmit
Data Platform Architect, Xebia
Experienced Data Platform Architect with over 11 years in designing and implementing scalable data solutions. Proficient in data transformation and advanced analytics, database management, stream processing and cloud solutions. Key achievements include leading successful data platform implementations and driving data migration projects. Big Data trainer, blogger and conference speaker.
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