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# Data connection

Data connection is a core concept in the MatrixOne Intelligence product model. This page explains the problems it solves, its relationships with other objects, and its usage boundaries.

## Definition

- Data connection consists of connectors, import tasks, and export tasks.
- A connector stores the source type, network parameters, and credential references, while tasks handle one-time or continuous data movement.
- Structured sources are written to targets according to schemas and field mappings, while unstructured sources enter Catalog through files and parsing configuration.

## Object relationships

1. A connector is reusable configuration referenced by multiple load or export tasks.
2. Loaded tables and files enter Catalog and become sources for workflows or knowledge bases.
3. A connection can be available even when a task fails because field mappings, target permissions, and Worker status still affect execution.

## Design principles

- Use least privilege and keep credentials in managed configuration.
- Start by validating with minimal data or test objects, then expand the scope.
- Version executable configuration and retain each run as an execution record.
- Do not equate a visible entry with backend availability or resource authorization.

:::{note}
These pages follow the current MOI 5.0 product model. If an entry is missing, check the workspace, permissions, and feature flags.
:::

## Operational guidance

- [Core concepts](index.md)
- [Quickstart](../quickstart.md)
- [Related guide](../../guides/ai-studio/data-sources/index.md)