Package-level declarations
Types
IoT Analytics allows you to collect large amounts of device data, process messages, and store them. You can then query the data and run sophisticated analytics on it. IoT Analytics enables advanced data exploration through integration with Jupyter Notebooks and data visualization through integration with Amazon QuickSight.
Inherited functions
Sends messages to a channel.
Cancels the reprocessing of data through the pipeline.
Used to create a channel. A channel collects data from an MQTT topic and archives the raw, unprocessed messages before publishing the data to a pipeline.
Used to create a dataset. A dataset stores data retrieved from a data store by applying a queryAction
(a SQL query) or a containerAction
(executing a containerized application). This operation creates the skeleton of a dataset. The dataset can be populated manually by calling CreateDatasetContent
or automatically according to a trigger you specify.
Creates the content of a dataset by applying a queryAction
(a SQL query) or a containerAction
(executing a containerized application).
Creates a data store, which is a repository for messages.
Creates a pipeline. A pipeline consumes messages from a channel and allows you to process the messages before storing them in a data store. You must specify both a channel
and a datastore
activity and, optionally, as many as 23 additional activities in the pipelineActivities
array.
Deletes the specified channel.
Deletes the specified dataset.
Deletes the content of the specified dataset.
Deletes the specified data store.
Deletes the specified pipeline.
Retrieves information about a channel.
Retrieves information about a dataset.
Retrieves information about a data store.
Retrieves the current settings of the IoT Analytics logging options.
Retrieves information about a pipeline.
Retrieves the contents of a dataset as presigned URIs.
Retrieves a list of channels.
Lists information about dataset contents that have been created.
Retrieves information about datasets.
Retrieves a list of data stores.
Retrieves a list of pipelines.
Lists the tags (metadata) that you have assigned to the resource.
Sets or updates the IoT Analytics logging options.
Simulates the results of running a pipeline activity on a message payload.
Retrieves a sample of messages from the specified channel ingested during the specified timeframe. Up to 10 messages can be retrieved.
Starts the reprocessing of raw message data through the pipeline.
Adds to or modifies the tags of the given resource. Tags are metadata that can be used to manage a resource.
Removes the given tags (metadata) from the resource.
Used to update the settings of a channel.
Updates the settings of a dataset.
Used to update the settings of a data store.
Updates the settings of a pipeline. You must specify both a channel
and a datastore
activity and, optionally, as many as 23 additional activities in the pipelineActivities
array.
Create a copy of the client with one or more configuration values overridden. This method allows the caller to perform scoped config overrides for one or more client operations.