This fact sheet explains how Collibra enables data quality monitoring directly within Databricks environments using pushdown processing. It highlights challenges caused by moving data out of cloud platforms for testing, which increases cost, latency, and risk. Collibra generates adaptive, machine-learning-driven quality rules and executes them at the source by pushing SQL directly to Databricks. This approach improves performance, security, and scalability while reducing manual effort. Benefits include faster issue detection, improved compliance, reduced data vulnerability, and greater productivity. The solution ensures reliable, high-quality data for analytics, operations, and AI.

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