Data Observability Glossary

Essential terms and definitions for understanding data observability, data quality, and modern data monitoring.

Core Concepts

Data Observability

The ability to understand and monitor the health and state of data across your entire data stack.

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Data Quality

A measure of how well data serves its intended purpose, including accuracy, completeness, and consistency.

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Techniques

Data Profiling

The process of analyzing data to understand its structure, content, and quality characteristics.

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Anomaly Detection

Identifying data points or patterns that deviate significantly from expected behavior.

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Schema Monitoring

Tracking changes to database table structures, columns, and data types over time.

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Put These Concepts Into Practice

Sparvi helps small data teams implement data observability without the complexity. Monitor data quality, detect anomalies, and track schema changes automatically.

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