📄️ Ingestion
Introduction
📄️ Search
The search bar is an important mechanism for discovering data assets in DataHub. From the search bar, you can find Datasets, Columns, Dashboards, Charts, Data Pipelines, and more. Simply type in a term and press 'enter'.
📄️ Schema History
Schema History is a valuable tool for understanding how a Dataset changes over time and gives insight into the following cases,
📄️ Domains
Starting in version 0.8.25, DataHub supports grouping data assets into logical collections called Domains. Domains are curated, top-level folders or categories where related assets can be explicitly grouped. Management of Domains can be centralized, or distributed out to Domain owners Currently, an asset can belong to only one Domain at a time.
📄️ Data Products
🤝 Version compatibility
📄️ Business Glossary
Introduction
📄️ Tags
Tags are informal, loosely controlled labels that help in search & discovery. They can be added to datasets, dataset schemas, or containers, for an easy way to label or categorize entities – without having to associate them to a broader business glossary or vocabulary.
📄️ Custom Ownership Types
🤝 Version compatibility
📄️ Access Policies
Access Policies define who can do what to which resources. In conjunction with Roles, Access Policies determine what users are allowed to do on DataHub.
📄️ Dataset Usage & Query History
Dataset Usage & Query History can give dataset-level information about the top queries which referenced a dataset.
📄️ Posts
DataHub allows users to make Posts that can be displayed on the app. Currently, Posts are only supported on the Home Page, but may be extended to other surfaces of the app in the future. Posts can be used to accomplish the following:
📄️ Sync Status
When looking at metadata in DataHub, it's useful to know if the information you're looking at is relevant.
📄️ About Incidents
This page provides an overview of working with the DataHub Incidents API.
📄️ Lineage
Lineage is used to capture data dependencies within an organization. It allows you to track the inputs from which a data asset is derived, along with the data assets that depend on it downstream.
📄️ Metadata Tests
DataHub includes a highly configurable, no-code framework that allows you to configure broad-spanning monitors & continuous actions
📄️ Lineage Impact Analysis
Lineage Impact Analysis is a powerful workflow for understanding the complete set of upstream and downstream dependencies of a Dataset, Dashboard, Chart, and many other DataHub Entities.
🗃️ Observability
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🗃️ Guides
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