1. Data subscription and exchange using AWS Forecast

    C#

    Sure, let's create a basic example of using AWS Forecast with a Dataset Group, Dataset, and a Forecast. We'll create a Dataset Group and a Dataset. Since generating a Forecast usually takes a substantial amount of time and data preprocessing, we'll skip that part here, but leave the setup for it.

    Here's a program:

    using Pulumi; using Aws = Pulumi.Aws; using AwsNative = Pulumi.AwsNative; class MyStack : Stack { public MyStack() { // Create an AWS Forecast Dataset Group var forecastDsGroup = new AwsNative.Forecast.DatasetGroup("exampleDsGroup", new AwsNative.Forecast.DatasetGroupArgs { DatasetGroupName = "example", Domain = "RETAIL", }); // Create an AWS Forecast Dataset var forecastDs = new AwsNative.Forecast.Dataset("exampleDs", new AwsNative.Forecast.DatasetArgs { DatasetName = "example", DatasetGroupName = forecastDsGroup.DatasetGroupName, Domain = "RETAIL", DatasetType= "TARGET_TIME_SERIES", DataFrequency = "D", Schema = new AwsNative.Forecast.Inputs.DatasetSchemaArgs { Attributes = new [] { new AwsNative.Forecast.Inputs.DatasetSchemaAttributesArgs { AttributeName = "item_id", AttributeType = "string" }, new AwsNative.Forecast.Inputs.DatasetSchemaAttributesArgs { AttributeName = "timestamp", AttributeType = "timestamp" }, new AwsNative.Forecast.Inputs.DatasetSchemaAttributesArgs { AttributeName = "demand", AttributeType = "float" } } }, // You should store your data in an S3 bucket and use that data to train your predictor and generate a forecast. // DataSetImportJob is used to import the data from the S3 bucket into the DataSet. }); // Export some output values this.DatasetGroupName = forecastDsGroup.DatasetGroupName; this.DatasetName = forecastDs.DatasetName; } [Output("datasetGroupName")] public Output<string> DatasetGroupName { get; set; } [Output("datasetName")] public Output<string> DatasetName { get; set; } }

    Links to Pulumi registry:

    Note: Please replace the dummy S3 details with your actual S3 bucket and object details in the 'RoleArn', 'BucketName' and 'Key' fields. And, don't forget to setup permissions properly so your pulumi program can access your S3 buckets.

    After data importing, you would typically create Predictors and Forecast resources using imported dataset. However, the operations for generating a Forecast typically takes a long time and requires substantial data preprocessing, hence those steps are skipped in this particular program.