Connect to Azure Data Lake Storage Data in Airbyte ELT Pipelines

Airbyte empowers users to load your data into any data warehouse, data lake, or database. When combined with CData Connect Cloud, Airbyte users can create Extract, Load, Transform (ELT) pipelines directly from live Azure Data Lake Storage data. This article illustrates the process of connecting to Azure Data Lake Storage through Connect Cloud and constructing ELT pipelines for Azure Data Lake Storage data within Airbyte.

CData Connect Cloud offers a dedicated SQL Server interface for Azure Data Lake Storage, facilitating data querying without the need for data replication to a native database. With built-in optimized data processing capabilities, CData Connect Cloud efficiently directs all supported SQL operations, including filters and JOINs, straight to Azure Data Lake Storage. This harnesses server-side processing to swiftly retrieve the desired Azure Data Lake Storage data.

Configure Azure Data Lake Storage Connectivity for Airbyte

Connectivity to Azure Data Lake Storage from Airbyte is made possible through CData Connect Cloud. To work with Azure Data Lake Storage data from Airbyte, 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.

Connect to Azure Data Lake Storage from Airbyte

To establish a connection from Airbyte to CData Connect Cloud, follow these steps.

1. Log in to your Airbyte account
2. On the left panel, click Sources, then Add New Source
3. Set Source Type to MSSQL Server to connect the TDS endpoint
4. Set Source Name
5. Set Host URL to tds.cdata.com
6. Set Port to 14333
7. Set Database to the name of the connection you previously configured, e.g. ADLS1.
8. Set Username to your Connect Cloud username
9. Set SSL Method to Encrypted (trust server certificate), leave the Replication Method as standard, and set SSH Tunnel Method to No Tunnel
10. (Optional) Set Schema to anything you want to apply to the source
11. Set Password to your Connect Cloud PAT
12. (Optional) Enter any needed JBDC URL Params
13. Click Test and Save to create the data source.

Create ELT Pipelines for Azure Data Lake Storage Data

To connect Azure Data Lake Storage data with a new destination, click Connections and then Set Up Connection to connect to your destination. Select the source created above and your desired destination, then allow Airbyte to process. When it is done, your connection is ready for use.

Get CData Connect Cloud

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