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CreateBlobStorage.md

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Create a storage account to store telemetry data

In the previous step, you exported IoT telemetry to Azure Event Hubs. In this step, you will create a storage account to store telemetry data.

Azure blob storage

Azure blob storage allows you to store blobs of unstructured data that can be easily access from other Azure services, such as Azure ML Studio.

Azure has a concept of storage accounts, which wrap a range of storage services including file, table and blob. Blob storage uses collections to store different data in.

Create a storage account and collection

There are two ways to create a storage account - from the Azure Portal or the Azure CLI.

Use the Azure Portal

  1. Open the Azure Portal

  2. Log in with your Microsoft account if required

Create the storage account
  1. From the left-hand menu select + Create a resource

    The create a resource button

  2. Search for storage account and select Storage account - blob, file, table, queue

    Searching for storage account

  3. Select Create

    The create storage button

  4. Fill in the details for the storage account

    1. Select your Azure subscription

    2. For the Resource group, select AgroHack

    3. Give the storage account a name. This needs to be globally unique, so include things such as the data or your name, for example agrohackjim2020. To make it easier, name it the same as your Azure IoT Central app.

    4. Select a Location closest to you, the same location you used in the previous step to create the resource group and event hubs.

    5. Set the Replication to be Locally-redundant storage (LRS) as this is the cheapest option. For production workloads you would want better redundancy, read the documentation on data redundancy for more details on this.

    6. Leave the rest of the options as the defaults

    The storage settings

  5. Select Review + create

  6. Select Create

  7. Once the deployment has completed, select the Go to resource button.

Create the collection
  1. Search for Containers in the resource menu, and select it

    Searching for containers

  2. Select + Container

    The add container button

  3. Name the container environmentdata. Leave the Public access level as Private (No anonymous access). Then select OK.

    Setting the new container details

Use the Azure CLI

Create the storage account
  1. Create the storage account using the following command

    az storage account create
     --location <location>
     --name <account_name>
     --resource-group AgroHack
     --sku Standard_LRS

    For the <location>, use the name of the location closest to you.

    For the <account_name>, pick a name that is globally unique, so include things such as the date or your name, for example agrohackjim2020. To make it easier, name it the same as your Azure IoT Central app.

    The -resource-group AgroHack setting adds this storage account to the new Resource Group you created in the previous step.

    The --sku Standard_LRS setting sets the data replication to be Locally-redundant storage (LRS) as this is the cheapest option. For production workloads you would want better redundancy, read the documentation on data redundancy for more details on this.

Create the collection
  1. Get the account keys for the new storage account. These access keys can be used to provide access to the storage account in the CLI and create the container. Get these by running the following command.

    az storage account keys list
     --account-name <account_name>
     --resource-group AgroHack
     --output table

    For <account_name> use the name you used for the storage account.

    The account keys are listed in the Value column of the output.

  2. Create the collection with the following command

    az storage container create
     --name environmentdata
     --account-name <account_name>
     --account-key <account_key>

    For <account_name> use the name you used for the storage account.

    For <account_key> use one of the keys from the previous step.


In this step you created a storage account to store telemetry data. In the next step you will use Azure Stream Analytics to stream data into the storage account.