Microsoft.MachineLearningServices workspaces/data 2021-03-01-preview
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Bicep resource definition
The workspaces/data resource type can be deployed with operations that target:
- Resource groups - See resource group deployment commands
For a list of changed properties in each API version, see change log.
Resource format
To create a Microsoft.MachineLearningServices/workspaces/data resource, add the following Bicep to your template.
resource symbolicname 'Microsoft.MachineLearningServices/workspaces/data@2021-03-01-preview' = {
parent: resourceSymbolicName
name: 'string'
properties: {
description: 'string'
properties: {
{customized property}: 'string'
}
tags: {
{customized property}: 'string'
}
}
}
Property values
DataContainer
| Name | Description | Value |
|---|---|---|
| description | The asset description text. | string |
| properties | The asset property dictionary. | DataContainerProperties |
| tags | Tag dictionary. Tags can be added, removed, and updated. | DataContainerTags |
DataContainerProperties
| Name | Description | Value |
|---|
DataContainerTags
| Name | Description | Value |
|---|
Microsoft.MachineLearningServices/workspaces/data
| Name | Description | Value |
|---|---|---|
| name | The resource name | string Constraints: Pattern = ^[a-zA-Z0-9][a-zA-Z0-9\-_]{0,254}$ (required) |
| parent | In Bicep, you can specify the parent resource for a child resource. You only need to add this property when the child resource is declared outside of the parent resource. For more information, see Child resource outside parent resource. |
Symbolic name for resource of type: workspaces |
| properties | [Required] Additional attributes of the entity. | DataContainer (required) |
Quickstart samples
The following quickstart samples deploy this resource type.
| Bicep File | Description |
|---|---|
| Create a Data Asset from File URI | This template creates a data asset/container from file URI in an Azure Machine Learning workspace. |
ARM template resource definition
The workspaces/data resource type can be deployed with operations that target:
- Resource groups - See resource group deployment commands
For a list of changed properties in each API version, see change log.
Resource format
To create a Microsoft.MachineLearningServices/workspaces/data resource, add the following JSON to your template.
{
"type": "Microsoft.MachineLearningServices/workspaces/data",
"apiVersion": "2021-03-01-preview",
"name": "string",
"properties": {
"description": "string",
"properties": {
"{customized property}": "string"
},
"tags": {
"{customized property}": "string"
}
}
}
Property values
DataContainer
| Name | Description | Value |
|---|---|---|
| description | The asset description text. | string |
| properties | The asset property dictionary. | DataContainerProperties |
| tags | Tag dictionary. Tags can be added, removed, and updated. | DataContainerTags |
DataContainerProperties
| Name | Description | Value |
|---|
DataContainerTags
| Name | Description | Value |
|---|
Microsoft.MachineLearningServices/workspaces/data
| Name | Description | Value |
|---|---|---|
| apiVersion | The api version | '2021-03-01-preview' |
| name | The resource name | string Constraints: Pattern = ^[a-zA-Z0-9][a-zA-Z0-9\-_]{0,254}$ (required) |
| properties | [Required] Additional attributes of the entity. | DataContainer (required) |
| type | The resource type | 'Microsoft.MachineLearningServices/workspaces/data' |
Quickstart templates
The following quickstart templates deploy this resource type.
| Template | Description |
|---|---|
Create a Data Asset from File URI |
This template creates a data asset/container from file URI in an Azure Machine Learning workspace. |
Terraform (AzAPI provider) resource definition
The workspaces/data resource type can be deployed with operations that target:
- Resource groups
For a list of changed properties in each API version, see change log.
Resource format
To create a Microsoft.MachineLearningServices/workspaces/data resource, add the following Terraform to your template.
resource "azapi_resource" "symbolicname" {
type = "Microsoft.MachineLearningServices/workspaces/data@2021-03-01-preview"
name = "string"
body = jsonencode({
properties = {
description = "string"
properties = {
{customized property} = "string"
}
tags = {
{customized property} = "string"
}
}
})
}
Property values
DataContainer
| Name | Description | Value |
|---|---|---|
| description | The asset description text. | string |
| properties | The asset property dictionary. | DataContainerProperties |
| tags | Tag dictionary. Tags can be added, removed, and updated. | DataContainerTags |
DataContainerProperties
| Name | Description | Value |
|---|
DataContainerTags
| Name | Description | Value |
|---|
Microsoft.MachineLearningServices/workspaces/data
| Name | Description | Value |
|---|---|---|
| name | The resource name | string Constraints: Pattern = ^[a-zA-Z0-9][a-zA-Z0-9\-_]{0,254}$ (required) |
| parent_id | The ID of the resource that is the parent for this resource. | ID for resource of type: workspaces |
| properties | [Required] Additional attributes of the entity. | DataContainer (required) |
| type | The resource type | "Microsoft.MachineLearningServices/workspaces/data@2021-03-01-preview" |