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title: Unstructured Data in Data 360
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locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/data/264-0-0/c360_a_unstructured_data_about.md
canonical_url: https://help.salesforce.com/s/articleView?id=data.c360_a_unstructured_data_about.htm&release=264.0.0&type=5
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content_type: documentation
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description: By bringing unstructured data in Data 360, you can ground your Agentforce agents, generative AI, analytics, and automation use cases with business-specific data that delivers deeper insights for your users and customers.
products:
  - Data 360
release: "264"
---
# Unstructured Data in Data 360

By bringing unstructured data in Data 360, you can ground your Agentforce agents, generative AI, analytics, and automation use cases with business-specific data that delivers deeper insights for your users and customers.

### Required Editions

<table class="slds-table slds-table_bordered slds-max-medium-table_stacked slds-m-bottom_small edition"><colgroup><col></colgroup><tbody><tr class=""><td class="slds-cell-wrap" style="vertical-align:top;">Available in: <strong>All Editions</strong> supported by Data 360. See <a href="https://help.salesforce.com/s/articleView?id=data.c360_a_dc_editions.htm&amp;release=264.0.0&amp;type=5" title="Data 360 is available in several supported Salesforce editions. Some Data 360 features also require additional licenses.">Data 360 edition availability</a>.</td></tr></tbody></table>

Unstructured data is data that doesn’t have a specific, consistent format and can’t be easily stored in a typical relational database. Its lack of structure makes it particularly challenging to search or analyze. However, AI technologies, such as large language models, can process unstructured data effectively. Common forms of unstructured data include chat transcripts, PDFs, audio and video files, legal documents, and other large texts, such as books. In Salesforce, unstructured data can come from Knowledge Articles or sales call transcripts. To learn more about unstructured data, see these resources.

- [Using Unstructured Data in Data 360](https://help.salesforce.com/s/articleView?id=data.c360_a_unstructured_data_connect_overview.htm&release=264.0.0&type=5 "Use unstructured data in Data 360 to ground Agentforce agents, generative AI, analytics, and automation use cases with business-specific data that delivers deeper insights for your users and customers.")
- [Unstructured Data File Formats and Connectors](https://help.salesforce.com/s/articleView?id=data.c360_a_unstructured_data_connect.htm&release=264.0.0&type=5 "Data 360 supports multiple file formats and connector types for unstructured data.")
- [Unstructured Data Workflow](https://help.salesforce.com/s/articleView?id=data.c360_a_unstructured_data_workflow.htm&release=264.0.0&type=5 "Regardless of your use case for unstructured data, there's a general workflow to ingest and process it in Data 360.")

## Unstructured Data Lake Objects

For typical structured data, a data lake object (DLO) is a storage container for the data ingested using a data stream in Data Cloud. Unstructured data is referenced directly by an unstructured data lake object (UDLO) that can also be ingested by data stream.

A single UDLO contains metadata for a collection of unstructured data files.

A UDLO has these key pieces of metadata at the table level.

- Content Type: For a UDLO, contains a metadata attribute value of `Content`
- Total Records: Indicates the number of records in the UDLO. Because each record in the UDLO corresponds to a file on the blob store, the number of records in a UDLO represents the number of unstructured data files that are represented in the UDLO.
- Last Updated On: The timestamp for when the file metadata stored in the UDLO was most recently modified.

## UDLO Schema Attributes

The UDLO schema has these attributes.

   
| Field Label | Field API Name | Data Type | Description |
| --- | --- | --- | --- |
| `File Path` | `FilePath__c` | Text | Primary Key: Contains the relative path of the source file |
| `Resolved FilePath` | `ResolvedFilePath__c` | Text | Fully resolved path of the file, for internal use |
| `Content Type` | `ContentType__c` | Text | The file MIME type, such as text/csv or text/html |
| `Parent Id` | `ParentId__c` | Text | Used to set up a foreign key to a related object |
| `Size` | `Size__c` | Number | File size, in bytes |
| `Col1…Col5` | `Col1__c…Col5__c` | Text | Currently unused |
| `Data Source` | `Data Source__c` | Text | <Empty> |
| `Data Source Object` | `DataSourceObject__c` | Text | <Empty> |
| `Internal Organization` | `InternalOrganization__c` | Text | <Empty> |
| `ETag` | `ETag__c` | Text | Currently unused |
| `KQ_FilePath` | `KQ_FilePath__c` | Text | Key Qualifier for "FilePath\_\_c" |
| `URL` | `URL__c` | Text | URL in source. |
| `Type` | `Type__c` | Text | File types such as .html, .pdf |
| `Title` | `Title__c` | Text | Title of the document |
| `Metadata` | `Metadata__c` | Text | Extra metadata (currently only used in the Youtube connector) |
| `Last Modified` | `LastModified__c` | Date/Time | The data's latest update time |
| `Labels` | `Labels__c` | Text | Labels, tags etc. Defined per connector type |

## UDMO Schema Attributes

Unstructured data model objects (UDMOs) are groups of data created from unstructured data sources. The UDMO schema has these attributes.

   
| Field Label | Field API Name | Data Type | Description |
| --- | --- | --- | --- |
| `File Path` | `FilePath__c` | Text | Primary Key: Contains the relative path of the source file |
| `Resolved FilePath` | `ResolvedFilePath__c` | Text | Fully resolved path of the file, for internal use |
| `Content Type` | `ContentType__c` | Text | The file MIME type, such as text/csv or text/html |
| `Parent Id` | `ParentId__c` | Text | Used to set up a foreign key to a related object |
| `Size` | `Size__c` | Number | File size, in bytes |
| `Col1…Col5` | `Col1__c…Col5__c` | Text | Currently unused |
| `Data Source` | `Data Source__c` | Text | <Empty> |
| `Data Source Object` | `DataSourceObject__c` | Text | <Empty> |
| `Internal Organization` | `InternalOrganization__c` | Text | <Empty> |
| `ETag` | `ETag__c` | Text | Currently unused |
| `KQ_FilePath` | `KQ_FilePath__c` | Text | Key Qualifier for "FilePath\_\_c" |
| `URL` | `URL__c` | Text | URL in source. |
| `Type` | `Type__c` | Text | File types such as .html, .pdf |
| `Title` | `Title__c` | Text | Title of the document |
| `Metadata` | `Metadata__c` | Text | Extra metadata (currently only used in the Youtube connector) |
| `Last Modified` | `LastModified__c` | Date/Time | The data's latest update time |
| `Labels` | `Labels__c` | Text | Labels, tags etc. Defined per connector type |

## Fully Qualified Keys for UDLOs and UDMOs

Fully Qualified Keys Data 360 adds key qualifier fields to UDLOs and UDMOs, which behave the same as in standard DLOs and DMOs. Key qualifier fields can be added when you create object relationships between DMOs and UDMOs. [See Fully Qualified Keys in Data Objects](https://help.salesforce.com/s/articleView?id=data.c360_a_dlo_dmo_key_qualifiers.htm&type=5&language=en_US).

#### See Also

- [_Salesforce Help_: Connect Unstructured Data to Data 360](https://help.salesforce.com/s/articleView?id=data.c360_a_unstructured_data_connect_overview.htm&release=264.0.0&type=5 "Use unstructured data in Data 360 to ground Agentforce agents, generative AI, analytics, and automation use cases with business-specific data that delivers deeper insights for your users and customers.")