This paper outlines best practices for building open cloud data lakehouses to maximize flexibility and interoperability. It recommends supporting diverse cloud storage providers and topologies, adopting a no-copy storage architecture to reduce data movement, and using vendor-agnostic formats like Apache Iceberg to abstract files as tables. It also advises implementing open catalogs for unified governance and avoiding lock-in. Open architectures enable seamless analytics across tools and platforms, improve performance, and simplify scaling. Enterprises should also optimize compression, partitioning, and schema design to ensure efficient storage and fast query performance as needs evolve.

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