Registry Data Container
    Azure Resource Manager resource envelope. Azure REST API version: 2023-04-01. Other available API versions: 2023-04-01-preview, 2023-06-01-preview, 2023-08-01-preview, 2023-10-01.
Example Usage
CreateOrUpdate Registry Data Container.
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AzureNative = Pulumi.AzureNative;
return await Deployment.RunAsync(() =>
{
    var registryDataContainer = new AzureNative.MachineLearningServices.RegistryDataContainer("registryDataContainer", new()
    {
        DataContainerProperties = new AzureNative.MachineLearningServices.Inputs.DataContainerArgs
        {
            DataType = "uri_folder",
            Description = "string",
            IsArchived = false,
            Properties =
            {
                { "string", "string" },
            },
            Tags =
            {
                { "string", "string" },
            },
        },
        Name = "string",
        RegistryName = "registryName",
        ResourceGroupName = "test-rg",
    });
});Content copied to clipboard
package main
import (
	"github.com/pulumi/pulumi-azure-native-sdk/machinelearningservices/v2"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := machinelearningservices.NewRegistryDataContainer(ctx, "registryDataContainer", &machinelearningservices.RegistryDataContainerArgs{
			DataContainerProperties: &machinelearningservices.DataContainerTypeArgs{
				DataType:    pulumi.String("uri_folder"),
				Description: pulumi.String("string"),
				IsArchived:  pulumi.Bool(false),
				Properties: pulumi.StringMap{
					"string": pulumi.String("string"),
				},
				Tags: pulumi.StringMap{
					"string": pulumi.String("string"),
				},
			},
			Name:              pulumi.String("string"),
			RegistryName:      pulumi.String("registryName"),
			ResourceGroupName: pulumi.String("test-rg"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}Content copied to clipboard
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.machinelearningservices.RegistryDataContainer;
import com.pulumi.azurenative.machinelearningservices.RegistryDataContainerArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }
    public static void stack(Context ctx) {
        var registryDataContainer = new RegistryDataContainer("registryDataContainer", RegistryDataContainerArgs.builder()
            .dataContainerProperties(Map.ofEntries(
                Map.entry("dataType", "uri_folder"),
                Map.entry("description", "string"),
                Map.entry("isArchived", false),
                Map.entry("properties", Map.of("string", "string")),
                Map.entry("tags", Map.of("string", "string"))
            ))
            .name("string")
            .registryName("registryName")
            .resourceGroupName("test-rg")
            .build());
    }
}Content copied to clipboard
Import
An existing resource can be imported using its type token, name, and identifier, e.g.
$ pulumi import azure-native:machinelearningservices:RegistryDataContainer string /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/registries/{registryName}/data/{name}Content copied to clipboard