As scientific data grows in complexity and volume, extracting meaningful insights becomes increasingly difficult. The Tetra Lakehouse architecture simplifies data replatforming and engineering, making it easier for biopharma companies to harness advanced analytics and AI.
In this demo, we explore:
- The key features of a data lakehouse for scientific data
- Data workflows within the Tetra Lakehouse
- How to access and interpret Delta tables in the Tetra Data Platform