🗃️ Assertions (Data Quality)
10 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 experimental approach to grouping similar assets within DataHub that align with a specific business purpose. This is an experimental feature and is subject to change as we get feedback.
🗃️ Automations
7 items
📄️ Business Attributes
Note: This is BETA feature
📄️ Business Glossary
Introduction
🗃️ Compliance Forms
4 items
📄️ Custom Asset Summaries
DataHub's Custom 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.
📄️ Custom Home Page
DataHub's Custom 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.
📄️ 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:
🗃️ Lineage
3 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), which standardizes how applications provide context to LLMs and AI agents. This enables AI agents to query DataHub metadata and use it to find relevant assets, traverse lineage, and more.
📄️ 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'.
📄️ 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.