Migration Spring - Agentic-first legacy ETL migration to Databricks

Is your team still maintaining Informatica pipelines that are slow to change, expensive to license, and hard to scale? In this session, Databricks Solution Architects walk through a modern, agentic-first approach to replacing legacy ETL — covering real migration patterns, tooling, and what it takes to move Informatica workloads to Databricks Lakehouse. What you'll learn: Why now is the right time to migrate away from Informatica PowerCenter / IICS The Databricks approach to ETL modernization: Delta Live Tables, Lakeflow, and AI-assisted pipeline migration How agentic workflows replace hand-coded transformation logic at scale Common migration pitfalls and how to avoid them Real customer examples: from months-long Informatica jobs to automated, self-healing pipelines on Databricks This session is for: Data engineers, architects, and platform leads evaluating or actively planning a migration away from Informatica, MuleSoft, or similar legacy ETL platforms. Resources mentioned: Databricks Lakeflow Connect: https://www.databricks.com/product/lakeflow Migrate to Databricks guide: https://www.databricks.com/solutions/migra... #Databricks #Informatica #ETLMigration #DataEngineering #Lakehouse #AgenticAI #LegacyETL #DeltaLiveTables #Lakeflow #DataPlatform