Session Outline
Rather than competing architectures, Data Lakehouses and Data Warehouses serve distinct roles and can complement each other in a modern data strategy. The real challenge isn’t choosing one over the other—it’s ensuring governance, automation, and best practices are in place to maintain a scalable, resilient data platform.
Key Takeaways
- Governance and data automation ensure scalability and long-term success
- Data modeling, lineage, and best practices drive efficiency and transparency
- Balance is key – use the right architecture for the right purpose
- WhereScape supports these by offering data automation for various source and target use cases
