lookoutequipment_create_dataset: Creates a container for a collection of data being ingested...
In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

View source: R/lookoutequipment_operations.R

lookoutequipment_create_dataset

R Documentation

Creates a container for a collection of data being ingested for analysis

Description

Creates a container for a collection of data being ingested for analysis. The dataset contains the metadata describing where the data is and what the data actually looks like. For example, it contains the location of the data source, the data schema, and other information. A dataset also contains any tags associated with the ingested data.

See https://www.paws-r-sdk.com/docs/lookoutequipment_create_dataset/ for full documentation.

Usage

lookoutequipment_create_dataset(
  DatasetName,
  DatasetSchema = NULL,
  ServerSideKmsKeyId = NULL,
  ClientToken,
  Tags = NULL
)

Arguments

`DatasetName`	[required] The name of the dataset being created.
`DatasetSchema`	A JSON description of the data that is in each time series dataset, including names, column names, and data types.
`ServerSideKmsKeyId`	Provides the identifier of the KMS key used to encrypt dataset data by Amazon Lookout for Equipment.
`ClientToken`	[required] A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.
`Tags`	Any tags associated with the ingested data described in the dataset.