As scientific data grows in complexity and volume, deriving insights from it becomes increasingly challenging. TetraScience’s lakehouse architecture offers a transformative solution, seamlessly bridging the gap between data lakes and data warehouses.
With this architecture, you can:
- Efficiently query and transform scientific data, unlocking advanced analytics and Scientific AI.
- Manage datasets for both data lake and data warehouse use cases with SQL and Delta tables.
- Create datasets optimized for specific scientific use cases.
- Share datasets across platforms like Databricks without incurring additional governance burdens or costs from data duplication.
