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Learn to design and implement an open data lakehouse architecture that ensures seamless interoperability across multiple cloud platforms and data tools. This 39-minute conference talk from Databricks explores proven reference architectures for deploying lakehouse solutions that work effectively across AWS, Google Cloud, and Azure while integrating with popular platforms like Snowflake, BigQuery, and Microsoft Fabric. Discover essential strategies for enabling cross-platform data access, implementing unified governance through Unity Catalog, and building a future-ready data stack that remains flexible regardless of where your data resides. The session covers practical blueprint approaches for creating interoperable lakehouse deployments, addressing common architectural challenges, and ensuring your data infrastructure can adapt to evolving business needs and technology landscapes. Gain insights into best practices for maintaining data consistency, security, and performance across diverse cloud environments while maximizing the value of your existing data investments.
