Integrate with live Azure Data Lake Storage Data in Jitterbit

Jitterbit is an enterprise iPaaS (integration platform as a service) that lets you streamline your data workflows. When paired with CData Connect Cloud, Jitterbit gets access to live Azure Data Lake Storage data. This article demonstrates how to connect to Azure Data Lake Storage using Connect Cloud and integrate with live Azure Data Lake Storage data in Jitterbit.

CData Connect Cloud provides a pure OData interface for Azure Data Lake Storage, allowing you to query data from Azure Data Lake Storage without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect Cloud pushes all supported SQL operations (filters, JOINs, etc.) directly to Azure Data Lake Storage, leveraging server-side processing to return the requested Azure Data Lake Storage data quickly.

Configure Azure Data Lake Storage Connectivity for Jitterbit

Connectivity to Azure Data Lake Storage from Jitterbit is made possible through CData Connect Cloud. To work with Azure Data Lake Storage data from Jitterbit, we start by creating and configuring a Azure Data Lake Storage connection.

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.

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.

Configure Azure Data Lake Storage Endpoints for Jitterbit

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}

Connect to Azure Data Lake Storage from Jitterbit using Connect Cloud

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

1. Log into Jitterbit.
2. Create a project in Cloud Studio and provide a workspace environment for it.
3. Click Connections and enter OData in the search bar.
4. Select the OData connector.
5. Enter the OData connection properties.
• Connection Name: enter a connection name.
• OData Metadata URL: enter https://cloud.cdata.com/api/odata/{workspace_name}.
• Authentication: select Basic Auth.
• User Name: enter your CData Connect Cloud username. This is displayed in the top-right corner of the CData Connect Cloud interface. For example, [email protected].
• Password: enter the PAT you generated on the Settings page.
6. Click Test to test the connection, and then click Save Changes.
7. Choose the operation you want to perform and drag it to the workflow in your project.
8. Double-click the query operation to see all the tables and derived views available in your OData endpoint.
9. Select a table and configure the query.

You can now transform and integrate live Azure Data Lake Storage data in Jitterbit.

Get CData Connect Cloud

To get live data access to 100+ SaaS, Big Data, and NoSQL sources directly from Jitterbit, try CData Connect Cloud today!