So, you’ve made the leap—you migrated your data to the data lake. You’ve embraced open table formats, ditched the old-school data warehouse, and finally feel like you’re in control of your data. But now comes the hard part: what’s next?

In this talk, we’ll take a critical look at the post-migration reality. Sure, you’ve got Iceberg, Delta, or Hudi running in production, but:
• Are your queries actually faster and cheaper? Or did you just shift complexity from one place to another?
• Are you truly vendor-agnostic? Or are you still locked in by query engines and metadata layers?
• Have you solved table maintenance, compaction, and governance? Or are you just ignoring those problems for now?
• What’s still missing? What innovations are needed to make data lakes truly operational—not just storage dumps?

We’ll explore the next wave of lake evolution, from adaptive clustering and indexing to real-time processing and transactional consistency. Whether you’re running on Snowflake, Databricks, Trino, or DuckDB, this session will challenge assumptions and spark fresh ideas about what’s still broken—and where we go from here.

If you thought migrating to the lake was the hard part, think again. The real work starts now. 🚀