Build Automated Azure Data Lake Storage-Connected Workflows in Zapier

Zapier is an online automation tool that connects your apps and services. When paired with CData Connect Cloud, you get access to live Azure Data Lake Storage data for your workflows. This article shows how to connect to Azure Data Lake Storage and build workflows with live Azure Data Lake Storage data in Zapier.

Connect to Azure Data Lake Storage from Zapier

To work with Azure Data Lake Storage in Zapier, we need to connect to Azure Data Lake Storage from Connect Cloud, provide user access to the connection, and create OData endpoints for the Azure Data Lake Storage data.

(Optional) Add a New Connect Cloud User

As needed, create Users to connect to Azure Data Lake Storage through Connect Cloud.

1. Navigate to the Users page and click Invite Users
2. Enter the new user's email address and click Send to invite the user
3. You can review and edit users from the Users page

Add a Personal Access Token

If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.

1. Click on your username at the top right of the Connect Cloud app and click User Profile.
2. On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
3. Give your PAT a name and click Create.
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

Connect to Azure Data Lake Storage from Connect Cloud

CData Connect Cloud uses a straightforward, point-and-click interface to connect to data sources.

1. Log into Connect Cloud, click Connections and click Add Connection
2. Select "Azure Data Lake Storage" from the Add Connection panel
3. Enter the necessary authentication properties to connect to Azure Data Lake Storage.

   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.
4. Click Create & Test
5. Navigate to the Permissions tab in the Add Azure Data Lake Storage Connection page and update the User-based permissions.

Configure Azure Data Lake Storage Endpoints for Zapier

After connecting to Azure Data Lake Storage, create a workspace and virtual dataset for your desired table(s).

1. Navigate to the Virtual Datasets page and click Add to create a new Workspace (or select an existing workspace).
2. Click Add to add new assets to the Workspace.
3. Select the Azure Data Lake Storage connection (e.g. ADLS1) and click Next.
4. Select the table(s) you wish to work with and click Confirm.
5. Make note of the OData Service URL for your workspace, e.g. https://cloud.cdata.com/api/odata/{workspace_name}

With the connection and Workspace configured, you are ready to connect to Azure Data Lake Storage data from Zapier.

Connect to Azure Data Lake Storage Data in Zapier Workflows

To establish a connection from Zapier to CData Connect Cloud using the OData protocol, follow these steps.

1. Log into Zapier.
2. Click Create Zap.
3. In the dialog that appears, search for "Webhooks by Zapier", and click the option underneath.
4. Under Event, select Retrieve Poll.
5. Fill in the connection details:
   • URL: Enter the OData URL (e.g. https://cloud.cdata.com/api/odata/{workspace_name}).
   • Key: Enter "value.name."
   • Authentication details: Fill in the Basic Auth or Headers. The basic option requires a user (your Connect Cloud username, e.g. [email protected]) and password (the PAT you've previously created) separated by a pipe symbol: |. The headers option requires a request type header with encoded credentials.
6. Click Test. If the connection is set up properly, sample records will appear.

Simplified Access to Azure Data Lake Storage Data from Cloud Applications

At this point, you have a direct, cloud-to-cloud connection to live Azure Data Lake Storage data from Zapier. For more information on gaining simplified access to data from more than 100 SaaS, Big Data, and NoSQL sources in cloud applications like Zapier, refer to our Connect Cloud page.