37 docs tagged with "data quality"

Integrate, catalog, and govern Anomalo assets in Atlan.

Integrate, catalog, and govern Ataccama assets in Atlan.

Integrate, catalog, and govern Bigeye assets in Atlan.

Understand how Data Quality Studio uses compute resources, how costs are calculated, and practical ways to track and optimize spend for Snowflake and Databricks.

Set up real-time notifications for data quality rule failures via Slack, Microsoft Teams, or Jira.

Configure BYOC credentials and query settings on your Snowflake or Databricks connection to enable failed rows queries.

Send data quality rule lifecycle and result events to external systems using webhooks.

Learn how to manage data contracts and agreements in Atlan to ensure data quality and compliance.

Reference for data quality permission scopes and configuration in Atlan.

Monitor and maintain data quality across your data sources with automated quality checks, alerts, and governance workflows

Set up and configure Databricks for data quality monitoring through Atlan.

Enable and configure data quality for your Databricks connection in Atlan.

Enable and configure data quality for your Snowflake connection in Atlan.

Configure data quality rules to scan only the most recent day's data for faster, more efficient monitoring.

Enable the query failed rows feature in Labs so users can investigate data quality issues by viewing the actual rows that failed DQ rules.

Frequently asked questions about querying failed rows, including nudge banner behavior and configuration requirements.

Troubleshoot issues with configuring connections for failed rows queries, including connection status, query button visibility, and query execution failures.

Integrate, catalog, and govern Great Expectations Cloud assets in Atlan.

Integrate, catalog, and govern Monte Carlo assets in Atlan.

Understand how limiting rules to the most recent day of data improves monitoring results in Atlan.

Understand how data quality alerts are routed to different channels based on asset scope and priority settings

Atlan crawls and manages the following data quality operations and results from Snowflake.

Integrate, catalog, and govern Qualytics assets in Atlan.

View and export the actual data rows that failed data quality rules to investigate and resolve data quality issues.

Explanation of Snowflake's security model and role requirements for data quality operations.

Reference of Data Quality Studio rule types, restrictions, and how failed rows validation works

Reference for available data quality rules and classification dimensions in Snowflake data quality.

Reference for restricting data quality rules to only the most recent day's data.

Configure Databricks to enable data quality monitoring through Atlan.

Configure Snowflake to enable data quality monitoring through Atlan.

Common questions about Databricks data quality setup and configuration.

Set up and configure Snowflake for data quality monitoring through Atlan.

Integrate, catalog, and govern Soda assets in Atlan.

Upgrade your Snowflake data quality setup to the latest version

Let Atlan suggest data quality rules automatically based on your asset's metadata structure, and apply them in a few clicks.

Understand automatic reattachment of data quality rules to assets that are dropped and recreated.

Understand Atlan's Data Quality Studio and how it enables business and data teams to collaborate on defining, monitoring, and enforcing data quality expectations