View data lineage using Unity Catalog | Databricks on AWS
Oct 8, 2025 · Lineage can be visualized in Catalog Explorer in near real time and retrieved programmatically using the lineage system tables and the Databricks REST API. Lineage can …
Lineage system tables reference - Databricks on AWS
Sep 3, 2025 · These system tables build on Unity Catalog 's data lineage feature, allowing you to programmatically query lineage data to fuel decision making and reports. To access the …
Feature governance and lineage - Databricks on AWS
Feb 3, 2025 · Learn about feature table governance. Learn about lineage tracking across features, functions, and models and how to view the lineage graph.
Capture and view data lineage using - SAP Databricks
Jan 9, 2025 · You can use Unity Catalog to capture runtime data lineage across queries run on SAP Databricks. Lineage is supported for all languages and is captured down to the column level.
View data lineage using Unity Catalog - Databricks
Oct 8, 2025 · Lineage can be visualized in Catalog Explorer in near real time and retrieved programmatically using the lineage system tables and the Databricks REST API. Lineage can …
Bring your own data lineage - Databricks on AWS
Dec 18, 2025 · Learn how to add external lineage metadata to Unity Catalog so that workloads that run outside of Databricks are captured in Unity Catalog data lineage.
Data governance with - Databricks on AWS
Dec 15, 2025 · Tools for ensuring data quality and data integrity are deeply integrated into Delta Lake, Apache Spark, and Databricks. You can learn about them throughout the Databricks …
Databricks REST API reference
Provides reference for Databricks REST API to manage external lineage relationships and metadata objects.
Unity Catalogを使用してデータリネージを表示 - Databricks
Oct 8, 2025 · Unity Catalog は、 Databricksで実行されるクエリ間でランタイム データリネージをキャプチャします。 リネージはすべての言語でサポートされており、列レベルまでキャ …
What is Unity Catalog? | Databricks on AWS
Nov 14, 2025 · Unity Catalog is a centralized data catalog that provides access control, auditing, lineage, quality monitoring, and data discovery capabilities across Databricks workspaces.