amazonaws.com – iotanalytics

OpenAPI apis-guru cloud

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.

Traditional analytics and business intelligence tools are designed to process structured data. IoT data often comes from devices that record noisy processes (such as temperature, motion, or sound). As a result the data from these devices can have significant gaps, corrupted messages, and false readings that must be cleaned up before analysis can occur. Also, IoT data is often only meaningful in the context of other data from external sources.

IoT Analytics automates the steps required to analyze data from IoT devices. IoT Analytics filters, transforms, and enriches IoT data before storing it in a time-series data store for analysis. You can set up the service to collect only the data you need from your devices, apply mathematical transforms to process the data, and enrich the data with device-specific metadata such as device type and location before storing it. Then, you can analyze your data by running queries using the built-in SQL query engine, or perform more complex analytics and machine learning inference. IoT Analytics includes pre-built models for common IoT use cases so you can answer questions like which devices are about to fail or which customers are at risk of abandoning their wearable devices.

Homepage: https://api.apis.guru/v2/specs/amazonaws.com:iotanalytics/2017-11-27.json
Provider: amazonaws.com:iotanalytics / iotanalytics
OpenAPI version: 3.0.0
Spec (JSON): https://api.apis.guru/v2/specs/amazonaws.com/iotanalytics/2017-11-27/openapi.json
Spec (YAML): https://api.apis.guru/v2/specs/amazonaws.com/iotanalytics/2017-11-27/openapi.yaml

Tools (36)

Extracted live via the executor SDK.

channels.createChannel

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.
channels.deleteChannel

Deletes the specified channel.
channels.describeChannel

Retrieves information about a channel.
channels.listChannels

Retrieves a list of channels.
channels.sampleChannelData

Retrieves a sample of messages from the specified channel ingested during the specified timeframe. Up to 10 messages can be retrieved.
channels.updateChannel

Used to update the settings of a channel.
datasets.createDataset

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.
datasets.createDatasetContent

Creates the content of a dataset by applying a queryAction (a SQL query) or a containerAction (executing a containerized application).
datasets.deleteDataset

Deletes the specified dataset.

You do not have to delete the content of the dataset before you perform this operation.
datasets.deleteDatasetContent

Deletes the content of the specified dataset.
datasets.describeDataset

Retrieves information about a dataset.
datasets.getDatasetContent

Retrieves the contents of a dataset as presigned URIs.
datasets.listDatasetContents

Lists information about dataset contents that have been created.
datasets.listDatasets

Retrieves information about datasets.
datasets.updateDataset

Updates the settings of a dataset.
datastores.createDatastore

Creates a data store, which is a repository for messages.
datastores.deleteDatastore

Deletes the specified data store.
datastores.describeDatastore

Retrieves information about a data store.
datastores.listDatastores

Retrieves a list of data stores.
datastores.updateDatastore

Used to update the settings of a data store.
logging.describeLoggingOptions

Retrieves the current settings of the IoT Analytics logging options.
logging.putLoggingOptions

Sets or updates the IoT Analytics logging options.

If you update the value of any loggingOptions field, it takes up to one minute for the change to take effect. Also, if you change the policy attached to the role you specified in the roleArn field (for example, to correct an invalid policy), it takes up to five minutes for that change to take effect.
messages.batchPutMessage

Sends messages to a channel.
pipelineactivities.runPipelineActivity

Simulates the results of running a pipeline activity on a message payload.
pipelines.cancelPipelineReprocessing

Cancels the reprocessing of data through the pipeline.
pipelines.createPipeline

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.
pipelines.deletePipeline

Deletes the specified pipeline.
pipelines.describePipeline

Retrieves information about a pipeline.
pipelines.listPipelines

Retrieves a list of pipelines.
pipelines.startPipelineReprocessing

Starts the reprocessing of raw message data through the pipeline.
pipelines.updatePipeline

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.
tagsResourceArn.listTagsForResource

Lists the tags (metadata) that you have assigned to the resource.
tagsResourceArn.tagResource

Adds to or modifies the tags of the given resource. Tags are metadata that can be used to manage a resource.
tagsResourceArnTagKeys.untagResource

Removes the given tags (metadata) from the resource.
openapi.previewSpec

Preview an OpenAPI document before adding it as a source
openapi.addSource

Add an OpenAPI source and register its operations as tools