Provision Dataset
A 3-step recipe with Amazon Forecast. We can help you get access.
Recipe · 3 steps
Provision Dataset
with Amazon Forecast
Create an Amazon Forecast dataset and wait until it is ACTIVE.
- Create the Amazon Forecast dataset using the supplied name, domain, type and schema.
- Describe the dataset and confirm it has reached the ACTIVE status before tagging it. Repeat this step while the status is still CREATE_PENDING or CREATE_IN_PROGRESS.
- Apply the supplied metadata tags to the now-ACTIVE dataset.
What you'll need to have ready
- datasetName: A name for the dataset.
- domain: The domain associated with the dataset (e.g. RETAIL, CUSTOM).
- datasetType: The dataset type (e.g. TARGET_TIME_SERIES).
- dataFrequency: The frequency of data collection (e.g. D for daily).
- schema: The schema for the dataset describing the data fields.
- tags: The metadata tags to apply once the dataset is ACTIVE.
For your developer
Arazzo workflow amazon-forecast:provision-dataset, 3 operations: CreateDataset → DescribeDataset → TagResource. Specs on APIs.io.