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40 lines
1.7 KiB
Markdown
40 lines
1.7 KiB
Markdown
import Tabs from '@theme/Tabs';
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import TabItem from '@theme/TabItem';
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# Container
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## Why Would You Use Containers?
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The Container entity represents a logical grouping of entities, such as datasets, data processing instances, or even other containers. It helps users organize and manage metadata in a hierarchical structure, making it easier to navigate and understand relationships between different entities.
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#### How is a Container related to other entities?
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1. **Parent-Child Relationship** : Containers can contain other entities such as datasets, charts, dashboards, data jobs, ML models, and even other containers (nested containers). For example, a dataset can have a container aspect that links it to the schema or folder (container) it belongs to.
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2. **Hierarchical Organization** : Containers can be nested, forming a hierarchy (e.g., a database container contains schema containers, which contain table containers). This enables a folder-like browsing experience in the DataHub UI.
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3. **Relationships in the Metadata Model** : Many entities (datasets, data jobs, ML models, etc.) have a container aspect that links them to their parent container. Containers themselves can have a parentContainer aspect for nesting.
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### Goal Of This Guide
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This guide will show you how to
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- Create a container
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## Prerequisites
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For this tutorial, you need to deploy DataHub Quickstart and ingest sample data.
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For detailed steps, please refer to [Datahub Quickstart Guide](/docs/quickstart.md).
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## Create Container
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<Tabs>
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<TabItem value="python" label="Python" default>
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```python
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{{ inline /metadata-ingestion/examples/library/create_container.py show_path_as_comment }}
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```
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</TabItem>
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</Tabs>
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