Operations

TL;DR

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

Your AI can read this via Docs MCPcurl -fsSL "https://docs.atlan.com/install-docs-mcp" | bashConnect

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

Once you have enabled data quality on your connection, Atlan can perform data quality operations and retrieve results from your Snowflake environment.

CUD operations for rules

When creating, updating, or deleting data quality rules:

Component	Details
Procedure	Atlan invokes the `MANAGE_DMF` stored procedure in Snowflake
User	Atlan DQ User
Role	`atlan_dq_service_role`

Action	Description
`ATTACH_DMF`	Attach a data metric function to a table
`DETACH_DMF`	Remove a data metric function from a table
`SUSPEND_DMF`	Pause execution of a data metric function
`RESUME_DMF`	Resume execution of a data metric function
`UPDATE_SCHEDULE`	Modify the execution schedule
`CREATE_DMF`	Create a new data metric function
`SET_ANOMALY_DETECTION`	Enable or disable anomaly detection on a DMF attachment

MANAGE_DMF provides only an acknowledgment response indicating successful execution

For custom SQL rules, Atlan validates and tests SQL statements:

Component	Details
Procedure	Atlan triggers the `MANAGE_DMF` procedure for test SQL operations
User	Atlan DQ User
Role	`atlan_dq_service_role`

Action	Description
`EXECUTE_SQL`	Run custom SQL for testing
`VALIDATE_SQL_PERMISSIONS`	Verify SQL permissions

Action	Response
`VALIDATE_SQL_PERMISSIONS`	Returns acknowledgment confirming permission validity
`EXECUTE_SQL`	Returns a scalar numeric result from executing the custom user-defined SQL statement, following rigorous validation

Atlan periodically crawls data from Snowflake to update rule results.

Table	Purpose
`ATLAN_DQ.STORE.DQ_RULE`	Rule definitions
`ATLAN_DQ.STORE.DQ_RULE_RESULT`	Execution results

Crawled data populates Atlan's internal representation of rule execution results.