Paws::IoTAnalytics - Perl Interface to AWS AWS IoT Analytics
use Paws; my $obj = Paws->service('IoTAnalytics'); my $res = $obj->Method( Arg1 => $val1, Arg2 => [ 'V1', 'V2' ], # if Arg3 is an object, the HashRef will be used as arguments to the constructor # of the arguments type Arg3 => { Att1 => 'Val1' }, # if Arg4 is an array of objects, the HashRefs will be passed as arguments to # the constructor of the arguments type Arg4 => [ { Att1 => 'Val1' }, { Att1 => 'Val2' } ], );
AWS 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. AWS 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.
AWS IoT Analytics automates the steps required to analyze data from IoT devices. AWS 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. AWS 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.
For the AWS API documentation, see https://docs.aws.amazon.com/goto/WebAPI/iotanalytics-2017-11-27
Each argument is described in detail in: Paws::IoTAnalytics::BatchPutMessage
Returns: a Paws::IoTAnalytics::BatchPutMessageResponse instance
Sends messages to a channel.
Each argument is described in detail in: Paws::IoTAnalytics::CancelPipelineReprocessing
Returns: a Paws::IoTAnalytics::CancelPipelineReprocessingResponse instance
Cancels the reprocessing of data through the pipeline.
Each argument is described in detail in: Paws::IoTAnalytics::CreateChannel
Returns: a Paws::IoTAnalytics::CreateChannelResponse instance
Creates a channel. A channel collects data from an MQTT topic and archives the raw, unprocessed messages before publishing the data to a pipeline.
Each argument is described in detail in: Paws::IoTAnalytics::CreateDataset
Returns: a Paws::IoTAnalytics::CreateDatasetResponse instance
Creates a data set. A data set 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 data set. The data set can be populated manually by calling "CreateDatasetContent" or automatically according to a "trigger" you specify.
Each argument is described in detail in: Paws::IoTAnalytics::CreateDatasetContent
Returns: a Paws::IoTAnalytics::CreateDatasetContentResponse instance
Creates the content of a data set by applying a "queryAction" (a SQL query) or a "containerAction" (executing a containerized application).
Each argument is described in detail in: Paws::IoTAnalytics::CreateDatastore
Returns: a Paws::IoTAnalytics::CreateDatastoreResponse instance
Creates a data store, which is a repository for messages.
Each argument is described in detail in: Paws::IoTAnalytics::CreatePipeline
Returns: a Paws::IoTAnalytics::CreatePipelineResponse instance
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.
channel
datastore
pipelineActivities
Each argument is described in detail in: Paws::IoTAnalytics::DeleteChannel
Returns: nothing
Deletes the specified channel.
Each argument is described in detail in: Paws::IoTAnalytics::DeleteDataset
Deletes the specified data set.
You do not have to delete the content of the data set before you perform this operation.
Each argument is described in detail in: Paws::IoTAnalytics::DeleteDatasetContent
Deletes the content of the specified data set.
Each argument is described in detail in: Paws::IoTAnalytics::DeleteDatastore
Deletes the specified data store.
Each argument is described in detail in: Paws::IoTAnalytics::DeletePipeline
Deletes the specified pipeline.
Each argument is described in detail in: Paws::IoTAnalytics::DescribeChannel
Returns: a Paws::IoTAnalytics::DescribeChannelResponse instance
Retrieves information about a channel.
Each argument is described in detail in: Paws::IoTAnalytics::DescribeDataset
Returns: a Paws::IoTAnalytics::DescribeDatasetResponse instance
Retrieves information about a data set.
Each argument is described in detail in: Paws::IoTAnalytics::DescribeDatastore
Returns: a Paws::IoTAnalytics::DescribeDatastoreResponse instance
Retrieves information about a data store.
Each argument is described in detail in: Paws::IoTAnalytics::DescribeLoggingOptions
Returns: a Paws::IoTAnalytics::DescribeLoggingOptionsResponse instance
Retrieves the current settings of the AWS IoT Analytics logging options.
Each argument is described in detail in: Paws::IoTAnalytics::DescribePipeline
Returns: a Paws::IoTAnalytics::DescribePipelineResponse instance
Retrieves information about a pipeline.
Each argument is described in detail in: Paws::IoTAnalytics::GetDatasetContent
Returns: a Paws::IoTAnalytics::GetDatasetContentResponse instance
Retrieves the contents of a data set as pre-signed URIs.
Each argument is described in detail in: Paws::IoTAnalytics::ListChannels
Returns: a Paws::IoTAnalytics::ListChannelsResponse instance
Retrieves a list of channels.
Each argument is described in detail in: Paws::IoTAnalytics::ListDatasetContents
Returns: a Paws::IoTAnalytics::ListDatasetContentsResponse instance
Lists information about data set contents that have been created.
Each argument is described in detail in: Paws::IoTAnalytics::ListDatasets
Returns: a Paws::IoTAnalytics::ListDatasetsResponse instance
Retrieves information about data sets.
Each argument is described in detail in: Paws::IoTAnalytics::ListDatastores
Returns: a Paws::IoTAnalytics::ListDatastoresResponse instance
Retrieves a list of data stores.
Each argument is described in detail in: Paws::IoTAnalytics::ListPipelines
Returns: a Paws::IoTAnalytics::ListPipelinesResponse instance
Retrieves a list of pipelines.
Each argument is described in detail in: Paws::IoTAnalytics::ListTagsForResource
Returns: a Paws::IoTAnalytics::ListTagsForResourceResponse instance
Lists the tags (metadata) which you have assigned to the resource.
Each argument is described in detail in: Paws::IoTAnalytics::PutLoggingOptions
Sets or updates the AWS IoT Analytics logging options.
Note that 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 5 minutes for that change to take effect.
loggingOptions
Each argument is described in detail in: Paws::IoTAnalytics::RunPipelineActivity
Returns: a Paws::IoTAnalytics::RunPipelineActivityResponse instance
Simulates the results of running a pipeline activity on a message payload.
Each argument is described in detail in: Paws::IoTAnalytics::SampleChannelData
Returns: a Paws::IoTAnalytics::SampleChannelDataResponse instance
Retrieves a sample of messages from the specified channel ingested during the specified timeframe. Up to 10 messages can be retrieved.
Each argument is described in detail in: Paws::IoTAnalytics::StartPipelineReprocessing
Returns: a Paws::IoTAnalytics::StartPipelineReprocessingResponse instance
Starts the reprocessing of raw message data through the pipeline.
Each argument is described in detail in: Paws::IoTAnalytics::TagResource
Returns: a Paws::IoTAnalytics::TagResourceResponse instance
Adds to or modifies the tags of the given resource. Tags are metadata which can be used to manage a resource.
Each argument is described in detail in: Paws::IoTAnalytics::UntagResource
Returns: a Paws::IoTAnalytics::UntagResourceResponse instance
Removes the given tags (metadata) from the resource.
Each argument is described in detail in: Paws::IoTAnalytics::UpdateChannel
Updates the settings of a channel.
Each argument is described in detail in: Paws::IoTAnalytics::UpdateDataset
Updates the settings of a data set.
Each argument is described in detail in: Paws::IoTAnalytics::UpdateDatastore
Updates the settings of a data store.
Each argument is described in detail in: Paws::IoTAnalytics::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.
Paginator methods are helpers that repetively call methods that return partial results
If passed a sub as first parameter, it will call the sub for each element found in :
- channelSummaries, passing the object as the first parameter, and the string 'channelSummaries' as the second parameter
If not, it will return a a Paws::IoTAnalytics::ListChannelsResponse instance with all the params; from all the responses. Please take into account that this mode can potentially consume vasts ammounts of memory.
param
- datasetContentSummaries, passing the object as the first parameter, and the string 'datasetContentSummaries' as the second parameter
If not, it will return a a Paws::IoTAnalytics::ListDatasetContentsResponse instance with all the params; from all the responses. Please take into account that this mode can potentially consume vasts ammounts of memory.
- datasetSummaries, passing the object as the first parameter, and the string 'datasetSummaries' as the second parameter
If not, it will return a a Paws::IoTAnalytics::ListDatasetsResponse instance with all the params; from all the responses. Please take into account that this mode can potentially consume vasts ammounts of memory.
- datastoreSummaries, passing the object as the first parameter, and the string 'datastoreSummaries' as the second parameter
If not, it will return a a Paws::IoTAnalytics::ListDatastoresResponse instance with all the params; from all the responses. Please take into account that this mode can potentially consume vasts ammounts of memory.
- pipelineSummaries, passing the object as the first parameter, and the string 'pipelineSummaries' as the second parameter
If not, it will return a a Paws::IoTAnalytics::ListPipelinesResponse instance with all the params; from all the responses. Please take into account that this mode can potentially consume vasts ammounts of memory.
This service class forms part of Paws
The source code is located here: https://github.com/pplu/aws-sdk-perl
Please report bugs to: https://github.com/pplu/aws-sdk-perl/issues
To install Paws::SDK::Config, copy and paste the appropriate command in to your terminal.
cpanm
cpanm Paws::SDK::Config
CPAN shell
perl -MCPAN -e shell install Paws::SDK::Config
For more information on module installation, please visit the detailed CPAN module installation guide.