Databricks

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Observe, Measure, Discover, and Remediate the data that matters in Databricks with DQLabs.

DQLabs.ai and Databricks partnership enables Out-of-the-Box Data Observability and Data Quality for Databricks to reduce data downtime and improve data accuracy. Just connect and monitor data across your modern data lakehouse for data quality issues and remediation in minutes.

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No-Code Data Observability

DQLabs out-of-the-box Databricks provides visibility into Freshness, Volume, Distribution, Schema, Usage, and Lineage in seconds and detects data downtime using ML-based anomaly detection.

Out of the Box Data Quality

Automate your data quality checks using out-of-the-box data measures across multiple categories and perform deep column-level profiling at ease for business validation.

Improved Trust and Governance

Improve the health of your data and accuracy towards business purposes using auto-discovery features around semantics tagging, business rules, and terms.

See Databricks in Action

End to End Observability and Quality for your modern data lakehouse

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