Ready to get started?

Download a free trial of the Azure Data Lake Storage Cmdlets to get started:

 Download Now

Learn more:

Azure Data Lake Storage Icon Azure Data Lake Storage Data Cmdlets

An easy-to-use set of PowerShell Cmdlets offering real-time access to Azure Data Lake Storage. The Cmdlets allow users to easily read, write, update, and delete live data - just like working with SQL server.

Pipe Azure Data Lake Storage Data to CSV in PowerShell



Use standard PowerShell cmdlets to access Azure Data Lake Storage tables.

The CData Cmdlets Module for Azure Data Lake Storage is a standard PowerShell module offering straightforward integration with Azure Data Lake Storage. Below, you will find examples of using our ADLS Cmdlets with native PowerShell cmdlets.

Creating a Connection to Your Azure Data Lake Storage Data

Authenticating to a Gen 1 DataLakeStore Account

Gen 1 uses OAuth 2.0 in Azure AD for authentication.

For this, an Active Directory web application is required. You can create one as follows:

  1. Sign in to your Azure Account through the .
  2. Select "Azure Active Directory".
  3. Select "App registrations".
  4. Select "New application registration".
  5. Provide a name and URL for the application. Select Web app for the type of application you want to create.
  6. Select "Required permissions" and change the required permissions for this app. At a minimum, "Azure Data Lake" and "Windows Azure Service Management API" are required.
  7. Select "Key" and generate a new key. Add a description, a duration, and take note of the generated key. You won't be able to see it again.

To authenticate against a Gen 1 DataLakeStore account, the following properties are required:

  • Schema: Set this to ADLSGen1.
  • Account: Set this to the name of the account.
  • OAuthClientId: Set this to the application Id of the app you created.
  • OAuthClientSecret: Set this to the key generated for the app you created.
  • TenantId: Set this to the tenant Id. See the property for more information on how to acquire this.
  • Directory: Set this to the path which will be used to store the replicated file. If not specified, the root directory will be used.

Authenticating to a Gen 2 DataLakeStore Account

To authenticate against a Gen 2 DataLakeStore account, the following properties are required:

  • Schema: Set this to ADLSGen2.
  • Account: Set this to the name of the account.
  • FileSystem: Set this to the file system which will be used for this account.
  • AccessKey: Set this to the access key which will be used to authenticate the calls to the API. See the property for more information on how to acquire this.
  • Directory: Set this to the path which will be used to store the replicated file. If not specified, the root directory will be used.

$conn = Connect-ADLS  -Schema "$Schema" -Account "$Account" -FileSystem "$FileSystem" -AccessKey "$AccessKey"

Selecting Data

Follow the steps below to retrieve data from the Resources table and pipe the result into to a CSV file:

Select-ADLS -Connection $conn -Table Resources | Select -Property * -ExcludeProperty Connection,Table,Columns | Export-Csv -Path c:\myResourcesData.csv -NoTypeInformation

You will notice that we piped the results from Select-ADLS into a Select-Object cmdlet and excluded some properties before piping them into an Export-Csv cmdlet. We do this because the CData Cmdlets append Connection, Table, and Columns information onto each "row" in the result set, and we do not necessarily want that information in our CSV file.

The Connection, Table, and Columns are appended to the results in order to facilitate piping results from one of the CData Cmdlets directly into another one.