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Simplifying Data Lakes with SQL Power

Modern table formats have brought transactional integrity to data lakes. Adopt a standard that supports ACID compliance, schema evolution, time travel, and data compaction. Manage these operations natively through SQL, allowing teams to CREATE, ALTER, MERGE, and OPTIMIZE without specialized tooling.

Unify metadata management in a shared catalog with lineage tracking, tagging, and fine-grained access policies. Provide operational views to monitor fragmentation, small files, and partition skew, supported by optimization commands.

By centering operations on SQL, all stakeholders, from analysts to engineers, work from a common, governed foundation. This convergence simplifies operations, strengthens governance, and enhances confidence in the data lake as a strategic asset.

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