39 docs tagged with "snowflake"

Frequently asked questions about allowlisting Atlan IP addresses in Snowflake, including static IPs for GCP-hosted tenants

Reference for anomaly detection result fields, status values, and how results flow from Snowflake to Atlan.

Configuration reference for the Asset Description Reverse Sync package, including workflow options, filters, audit trail behavior, and offline execution artifacts for Snowflake.

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

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

Connect your query engine to the Atlan Lakehouse and start querying metadata.

Connect Snowflake to Lakehouse and run your first query

Complete field-by-field reference for the Snowflake Cortex Analyst and Databricks Metric View YAML schemas used in Context Engineering Studio.

Discover, catalog, and build lineage for AI models registered in the Snowflake Model Registry using Atlan's Snowflake connector.

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

Use Lakehouse to analyze database usage, optimize query performance, and manage storage and compute costs

Complete reference for the Snowflake Semantic View and Databricks Metric View DDL that Context Engineering Studio generates at deploy time.

Certify and deploy a context repository to Snowflake Cortex Analyst, then monitor live query traces in the Observe tab.

Enable ML-based anomaly detection on a Snowflake table to automatically monitor row count and freshness without manual thresholds.

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.

Apply the Snowflake grants that Context Engineering Studio needs before you can deploy to Snowflake Cortex Analyst.

Frequently asked questions about how Atlan constructs lineage for Snowflake AI models, including the lineage function used, depth, and upstream asset types resolved.

Learn how Atlan handles multiple tag values for Snowflake objects, including concatenation, sorting, and reverse synchronization.

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

Full reference of the privileges required to crawl AI models and extract lineage from the Snowflake Model Registry, including what each privilege enables and why it's needed.

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 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.

Trigger data quality rules immediately at the table or rule level without waiting for the next scheduled run. Supported for Snowflake and Databricks.

Configure Snowflake to enable data quality monitoring through Atlan.

Integrate, catalog, and govern Snowflake assets in Atlan.

Engine-specific setup, authentication, and behavior for Context Engineering Studio on Snowflake Cortex Analyst.

Frequently asked questions about Snowflake connectivity and crawling.

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

Recommended Snowflake warehouse configuration to enable reliable Atlan workflow execution.

Frequently asked questions about Snowflake Stored Procedures and User-defined Functions and their relationships with Process assets for lineage generation

Resolve common Snowflake errors when querying Lakehouse Iceberg tables and Polaris catalog-linked databases.

Resolve common Snowflake errors in Context Engineering Studio, including preflight checks, generation, evaluation, deployment, and chat issues.

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 how Atlan uses Snowflake's native ML-based anomaly detection to automatically monitor row count and freshness without manual thresholds.