The Azure Quickstart templates are currently available in English
This template provides an example of how to perform analytics on the historic as well as real time streaming data stored in Azure Blob Storage. The data from the event hub is taken by the Azure Stream Analytics Job to perform transformation and the output is stored in Azure Blob Storage and is visualized in PowerBI. The analytics is applied on the historic data stored in Blob storage by Azure Data Analytics and the movement of extracted, transformed and published data and the orchestration is done by Data Factory. The published data is further visualized in PowerBI
Este modelo do ARM (Azure Resource Manager) foi criado por um membro da comunidade, e não pela Microsoft. Cada modelo do ARM é licenciado para você de acordo com o contrato de licença de seu proprietário, e não da Microsoft. A Microsoft não é responsável por modelos do ARM fornecidos e licenciado por membros da comunidade e não avalia sua segurança, compatibilidade ou desempenho. Modelos do ARM da comunidade não têm suporte de nenhum programa ou serviço de suporte da Microsoft e são disponibilizados DA FORMA COMO ESTÃO, sem nenhum tipo de garantia.
Parâmetros
| Nome do parâmetro | Descrição |
|---|---|
| location | The location in which the resources will be created.Check supported locations |
| eventHubNamespaceName | Name of the EventHub namespace |
| captureTime | the time window in seconds for the archival |
| captureSize | the size window in bytes for event hub capture |
| eventhubSku | The messaging tier for service Bus namespace |
| skuCapacity | MessagingUnits for premium namespace |
| isAutoInflateEnabled | Enable or disable AutoInflate |
| messageRetentionInDays | How long to retain the data in Event Hub |
| partitionCount | Number of partitions chosen |
| captureEncodingFormat | The encoding format Eventhub capture serializes the EventData when archiving to your storage |
| adlAnalyticsName | The name of the Data Lake Analytics account to create. |
| adlStoreName | The name of the Data Lake Store account to create. |
| vmSize | Size of vm Eg. Standard_D1_v2 |
| vm_username | Username for the Virtual Machine. |
| vm_password | Password for the Virtual Machine. |
| OptionalWizardInstall | Select whether the VM should be in production or not. |
| dataFactoryName | Name of the data factory. Must be globally unique. |
| appName | Name of the Azure datalake UI app registered. Must be globally unique. |
| servicePrincipalId | The ID of the service principal that has permissions to create HDInsight clusters in your subscription. |
| servicePrincipalKey | The access key of the service principal that has permissions to create HDInsight clusters in your subscription. |
| dataLakeAnalyticsLocation | The location in which the resources will be created.Check supported locations |
| _artifactsLocation | The base URI where artifacts required by this template are located here |
| _artifactsLocationSasToken | The sasToken required to access _artifactsLocation. When the template is deployed using the accompanying scripts, a sasToken will be automatically generated. Use the defaultValue if the staging location is not secured. |
Usar o modelo
PowerShell
New-AzResourceGroup -Name <resource-group-name> -Location <resource-group-location> #use this command when you need to create a new resource group for your deploymentInstale e configure o PowerShell do Azure
New-AzResourceGroupDeployment -ResourceGroupName <resource-group-name> -TemplateUri https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/yash-datalake/azuredeploy.json
Linha de comando
az group create --name <resource-group-name> --location <resource-group-location> #use this command when you need to create a new resource group for your deploymentInstalar e configurar a Interface de Linha de Comando de Plataforma Cruzada do Azure
az group deployment create --resource-group <my-resource-group> --template-uri https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/yash-datalake/azuredeploy.json