Summary
As organizations increasingly turn to data lakehouse architectures to unify their data and analytics capabilities for AI-driven use cases, adopting the right strategy becomes critical for success. To succeed, enterprises must adopt a balanced approach that combines modern data management with robust governance, scalability, and performance optimization. This report outlines 10 best practices for supporting an enterprise data lakehouse strategy, providing guidance to help organizations maximize value, enhance data agility, and drive innovation across the business.
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