Open documentation ↗Overview
<p>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.</p> <p>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. </p> <p>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.</p>
AWS IoT Analytics is a cloud platforms API from amazonaws.com. Requests are authenticated with an API key. It is served over HTTPS. Its OpenAPI description documents 34 endpoints.
At a glance
- Authentication
- API key
- HTTPS
- Yes
- CORS
- Unknown
- Category
- Cloud Platforms
- Version
- 2017-11-27
- Endpoints
- 34
- OpenAPI
- Specification ↗
- Spec updated
- 2020-03-11
Endpoints
| Method | Path | What it does |
|---|---|---|
| POST | /messages/batch | Sends messages to a channel. |
| DELETE | /pipelines/{pipelineName}/reprocessing/{reprocessingId} | Cancels the reprocessing of data through the pipeline. |
| GET | /channels | Retrieves a list of channels. |
| POST | /channels | 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. |
| GET | /datasets | Retrieves information about datasets. |
| POST | /datasets | Used to create a dataset. A dataset stores data retrieved from a data store by applying a <code>queryAction</code> (a SQL query) or a <code>containerAction</cod |
| GET | /datasets/{datasetName}/content | Retrieves the contents of a dataset as presigned URIs. |
| POST | /datasets/{datasetName}/content | Creates the content of a dataset by applying a <code>queryAction</code> (a SQL query) or a <code>containerAction</code> (executing a containerized application). |
| DELETE | /datasets/{datasetName}/content | Deletes the content of the specified dataset. |
| GET | /datastores | Retrieves a list of data stores. |
| POST | /datastores | Creates a data store, which is a repository for messages. |
| GET | /pipelines | Retrieves a list of pipelines. |
| POST | /pipelines | 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 bot |
| GET | /channels/{channelName} | Retrieves information about a channel. |
| PUT | /channels/{channelName} | Used to update the settings of a channel. |
| DELETE | /channels/{channelName} | Deletes the specified channel. |
| GET | /datasets/{datasetName} | Retrieves information about a dataset. |
| PUT | /datasets/{datasetName} | Updates the settings of a dataset. |
| DELETE | /datasets/{datasetName} | <p>Deletes the specified dataset.</p> <p>You do not have to delete the content of the dataset before you perform this operation.</p> |
| GET | /datastores/{datastoreName} | Retrieves information about a data store. |
| PUT | /datastores/{datastoreName} | Used to update the settings of a data store. |
| DELETE | /datastores/{datastoreName} | Deletes the specified data store. |
| GET | /pipelines/{pipelineName} | Retrieves information about a pipeline. |
| PUT | /pipelines/{pipelineName} | Updates the settings of a pipeline. You must specify both a <code>channel</code> and a <code>datastore</code> activity and, optionally, as many as 23 additional |
| DELETE | /pipelines/{pipelineName} | Deletes the specified pipeline. |
| GET | /logging | Retrieves the current settings of the IoT Analytics logging options. |
| PUT | /logging | <p>Sets or updates the IoT Analytics logging options.</p> <p>If you update the value of any <code>loggingOptions</code> field, it takes up to one minute for the |
| GET | /datasets/{datasetName}/contents | Lists information about dataset contents that have been created. |
| GET | /tags#resourceArn | Lists the tags (metadata) that you have assigned to the resource. |
| POST | /tags#resourceArn | Adds to or modifies the tags of the given resource. Tags are metadata that can be used to manage a resource. |
| POST | /pipelineactivities/run | Simulates the results of running a pipeline activity on a message payload. |
| GET | /channels/{channelName}/sample | Retrieves a sample of messages from the specified channel ingested during the specified timeframe. Up to 10 messages can be retrieved. |
| POST | /pipelines/{pipelineName}/reprocessing | Starts the reprocessing of raw message data through the pipeline. |
| DELETE | /tags#resourceArn&tagKeys | Removes the given tags (metadata) from the resource. |
Questions
Does the AWS IoT Analytics API need an API key?
Yes. The AWS IoT Analytics API uses API key authentication; the documentation explains how to get credentials.
Does the AWS IoT Analytics API support HTTPS?
Yes, the AWS IoT Analytics API is served over HTTPS.
How many endpoints does the AWS IoT Analytics API have?
Its OpenAPI description lists 34 endpoints in version 2017-11-27. All of them are shown on this page.
What are alternatives to the AWS IoT Analytics API?
Other Cloud Platforms APIs include Remote Settings PROD, Linode API, DigitalOcean API, Vercel API, Platform API.
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