This Actian white paper outlines a cost-effective, modern approach to data observability that ensures complete, real-time insight into data quality across diverse systems. Traditional methods—legacy ETL checks or RDBMS queries—are limited, incomplete, and expensive. Actian’s decoupled data quality engine monitors data in-memory next to the source, supports structured and semi-structured formats, and avoids taxing operational systems. Combined with automated data lineage, it delivers end-to-end visibility from provider to consumer, improving governance, scalability, AI readiness, and trust—without overloading budgets or infrastructure.

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