Data Observability 101

15 Pages

This eBook explains data observability, monitoring and data health to ensure accuracy, reliability, and trust. It covers its four pillars (metrics, metadata, lineage, logs), why you need it (e.g., bad data, poor visibility, compliance risks), and how it boosts ROI by preventing costly errors, improving decision-making, and fostering trust. It also outlines criteria for choosing a platform, from integrations and lineage visualization to governance, scalability, and cost, positioning observability as essential for modern data management.

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