Fabien Contaminard

MATCH_RECOGNIZE is landing on Databricks SQL — and it changes how analysts express row patterns. This session is demo-driven, built around production-grade examples — the kind of pattern queries that already run in pipelines, dashboards, and alerts. For each one we watch the query shrink from dozens of lines to a few. Readable. Maintainable. A fraction of the cost to run. You'll leave able to write — and challenge — patterns the way you'd say them out loud.

In this session we’ll dive into the SQL kitchen and use a combination of SQL staples and nouvelle cuisine such as recursive queries, temporary tables, and stored procedures. We’ll leave you with well-scripted recipes to execute immediately or store for later consumption in your Unity Catalog. Think of this session as building your go-to cookbook of SQL techniques. Bon appétit!

Storage and processing costs of your legacy Teradata data warehouses impact your ability to deliver. Migrating your legacy Teradata data warehouse to the Databricks Data Intelligence Platform can accelerate your data modernization journey. In this session, learn the top strategies for completing this data migration. We will cover data type conversion, basic to complex code conversions, validation and reconciliation best practices. How to use Databricks natively hosted LLMs to assist with migration activities. See before-and-after architectures of customers who have migrated, and learn about the benefits they realized.