🗃️ Ask DataHub
1 items
🗃️ Agent Context Kit
3 items
🗃️ Assertions (Data Quality)
11 items
📄️ Data Access Workflows
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📄️ Data Access Roles
Note: This feature is under active development and subject to significant change.
📄️ Applications
DataHub Cloud v1.2.0 introduces Applications, an approach to grouping similar assets within DataHub that align with a specific business purpose.
🗃️ Automations
7 items
📄️ Business Attributes
Note: This is BETA feature
📄️ Business Glossary
Introduction
🗃️ Compliance Forms
4 items
📄️ Context Documents
Context Documents let you capture tribal knowledge in DataHub. With Context Documents, you can create runbooks, FAQs, process guides, decision logs, and more to capture curated organizational context.
📄️ Asset Summaries
DataHub's Asset Summaries enable organizations to create tailored, curated discovery experiences for their most important logical assets by customizing the Summary tab view that users see when browsing Domains, Data Products, Glossary Terms, and Glossary Term Groups.
📄️ Home Page
DataHub's Home Page empowers organizations and individual users to create personalized, modular home page experiences that put the most relevant data assets and information front and center.
📄️ Data Contract
What Is a Data Contract
📄️ Data Products
🤝 Version compatibility
📄️ Dataset Usage and Query History
Dataset Usage & Query History can give dataset-level information about the top queries which referenced a dataset.
📄️ 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.
📄️ File Upload and Download in Documentation
DataHub's File Upload and Download capability enables you to enrich your asset and column documentation with supporting files like images, diagrams, and other resources, making your data catalog more informative and easier to understand.
📄️ Incidents
This page provides an overview of working with the DataHub Incidents API.
📄️ Ingestion
DataHub helps you discover and understand your organization's data by automatically collecting information about your data sources. This process is called metadata ingestion, allowing DataHub to automatically pull in:
📄️ Ingestion Security
DataHub supports three ways to ingest metadata. They differ primarily in where credentials are stored and what network access is required.
🗃️ Lineage
4 items
🗃️ Logical Models
2 items
📄️ Metadata Tests
DataHub includes a highly configurable, no-code framework that allows you to configure broad-spanning monitors & continuous actions
📄️ MCP Server
The DataHub MCP Server implements the Model Context Protocol (MCP), giving AI agents direct access to your DataHub metadata. Search for data assets, traverse lineage, inspect schemas, and generate SQL — all through natural language in tools like Cursor, Windsurf, Claude Desktop, and OpenAI.
📄️ Ownership
🤝 Version compatibility
📄️ 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.
📄️ 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:
🗃️ Properties
2 items
📄️ Schema history
Schema History is a valuable tool for understanding how a Dataset changes over time and gives insight into the following cases,
📄️ 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'.
📄️ Search Access Controls
Search Access Controls allow organizations to restrict which entities users can discover through search results. This feature uses the View Entity permission to filter search results based on policies, ensuring users only see metadata they are authorized to access.
📄️ Service Accounts
Available starting in DataHub Cloud v0.3.17, DataHub Core v1.4.0.
📄️ Sync Status
When looking at metadata in DataHub, it's useful to know if the information you're looking at is relevant.
📄️ 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.