Connect to Azure Data Catalog 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 AI, Airbyte users can create Extract, Load, Transform (ELT) pipelines directly from live Azure Data Catalog data. This article illustrates the process of connecting to Azure Data Catalog through Connect AI and constructing ELT pipelines for Azure Data Catalog data within Airbyte.
CData Connect AI offers a dedicated SQL Server interface for Azure Data Catalog, facilitating data querying without the need for data replication to a native database. With built-in optimized data processing capabilities, CData Connect AI efficiently directs all supported SQL operations, including filters and JOINs, straight to Azure Data Catalog. This harnesses server-side processing to swiftly retrieve the desired Azure Data Catalog data.
Configure Azure Data Catalog Connectivity for Airbyte
Connectivity to Azure Data Catalog from Airbyte is made possible through CData Connect AI. To work with Azure Data Catalog data from Airbyte, we start by creating and configuring a Azure Data Catalog connection.
- Log into Connect AI, click Sources, and then click Add Connection
- Select "Azure Data Catalog" from the Add Connection panel
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Enter the necessary authentication properties to connect to Azure Data Catalog.
You can optionally set the following to read the different catalog data returned from Azure Data Catalog.
- CatalogName: Set this to the CatalogName associated with your Azure Data Catalog. To get your Catalog name, navigate to your Azure Portal home page > Data Catalog > Catalog Name
Connect Using OAuth Authentication
You must use OAuth to authenticate with Azure Data Catalog. OAuth requires the authenticating user to interact with Azure Data Catalog using the browser. For more information, refer to the OAuth section in the help documentation.
- Click Save & Test
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Navigate to the Permissions tab in the Add Azure Data Catalog Connection page and update the User-based permissions.
Add a Personal Access Token
When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.
- Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
- On the Settings page, go to the Access Tokens section and click Create PAT.
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Give the PAT a name and click Create.
- The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.
With the connection configured and a PAT generated, you are ready to connect to Azure Data Catalog data from Airbyte.
Connect to Azure Data Catalog from Airbyte
To establish a connection from Airbyte to CData Connect AI, follow these steps.
- Log in to your Airbyte account
- On the left panel, click Sources, then Add New Source
- Set Source Type to MSSQL Server to connect the TDS endpoint
- Set Source Name
- Set Host URL to tds.cdata.com
- Set Port to 14333
- Set Database to the name of the connection you previously configured, e.g. AzureDataCatalog1.
- Set Username to your Connect AI username
- Set SSL Method to Encrypted (trust server certificate), leave the Replication Method as standard, and set SSH Tunnel Method to No Tunnel
- (Optional) Set Schema to anything you want to apply to the source
- Set Password to your Connect AI PAT
- (Optional) Enter any needed JBDC URL Params
- Click Test and Save to create the data source.
Create ELT Pipelines for Azure Data Catalog Data
To connect Azure Data Catalog data with a new destination, click Sources 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.
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