24 docs tagged with "databricks"

Frequently asked questions about how Atlan lineage differs from Databricks native lineage.

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.

Discover and catalog AI models registered in the Databricks Unity Catalog Model Registry using Atlan's Databricks connector.

Frequently asked questions about Databricks cross-workspace extraction setup and configuration.

Troubleshoot common issues in Databricks cross-workspace extraction with error, cause, and solution guidance.

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

Integrate, catalog, and govern Databricks assets in Atlan.

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

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

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

Set up OAuth SSO authentication for Databricks connections in Atlan.

Build upstream lineage between Databricks AI models and the datasets, tables, and functions they depend on.

Frequently asked questions about how Atlan constructs lineage for Databricks AI models, including lineage sources, relationships created, and asset behavior.

Understand how Atlan filters Databricks lineage data to show only valid lineage relationships.

Full reference of the privileges required to crawl AI models and extract lineage from Databricks Unity Catalog, including what each privilege enables and how to grant it.

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

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 a single service principal to crawl metadata from all workspaces within a Databricks metastore using system tables

Configure Databricks to enable data quality monitoring through Atlan.

Common questions about Databricks data quality setup and configuration.

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