Connect to SQL Server 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 SQL Server data. This article illustrates the process of connecting to SQL Server through Connect AI and constructing ELT pipelines for SQL Server data within Airbyte.

CData Connect AI offers a dedicated SQL Server interface for SQL Server, 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 SQL Server. This harnesses server-side processing to swiftly retrieve the desired SQL Server data.

Configure SQL Server Connectivity for Airbyte

Connectivity to SQL Server from Airbyte is made possible through CData Connect AI. To work with SQL Server data from Airbyte, we start by creating and configuring a SQL Server connection.

1. Log into Connect AI, click Sources, and then click Add Connection
👁 Adding a Connection

2. Select "SQL Server" from the Add Connection panel
👁 Selecting a data source

3. Enter the necessary authentication properties to connect to SQL Server.

   Connecting to Microsoft SQL Server

   Connect to Microsoft SQL Server using the following properties:

   • Server: The name of the server running SQL Server.
   • User: The username provided for authentication with SQL Server.
   • Password: The password associated with the authenticating user.
   • Database: The name of the SQL Server database.

   Connecting to Azure SQL Server and Azure Data Warehouse

   You can authenticate to Azure SQL Server or Azure Data Warehouse by setting the following connection properties:

   • Server: The server running Azure. You can find this by logging into the Azure portal and navigating to "SQL databases" (or "SQL data warehouses") -> "Select your database" -> "Overview" -> "Server name."
   • User: The name of the user authenticating to Azure.
   • Password: The password associated with the authenticating user.
   • Database: The name of the database, as seen in the Azure portal on the SQL databases (or SQL warehouses) page.

   SSH Connectivity for SQL Server

   You can use SSH (Secure Shell) to authenticate with SQL Server, whether the instance is hosted on-premises or in supported cloud environments. SSH authentication ensures that access is encrypted (as compared to direct network connections).

   SSH Connections to SQL Server in Password Auth Mode

   To connect to SQL Server via SSH in Password Auth mode, set the following connection properties:

   • User: SQL Server User name
   • Password: SQL Server Password
   • Database: SQL Server database name
   • Server: SQL Server Server name
   • Port: SQL Server port number like 3306
   • UserSSH: "true"
   • SSHAuthMode: "Password"
   • SSHPort: SSH Port number
   • SSHServer: SSH Server name
   • SSHUser: SSH User name
   • SSHPassword: SSH Password

   SSH Connections to SQL Server in Public Key Auth Mode

   To connect to SQL Server via SSH in Password Auth mode, set the following connection properties:

   • User: SQL Server User name
   • Password: SQL Server Password
   • Database: SQL Server database name
   • Server: SQL Server Server name
   • Port: SQL Server port number like 3306
   • UserSSH: "true"
   • SSHAuthMode: "Public_Key"
   • SSHPort: SSH Port number
   • SSHServer: SSH Server name
   • SSHUser: SSH User name
   • SSHClientCret: the path for the public key certificate file
   👁 Configuring a connection (Salesforce is shown)
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add SQL Server Connection page and update the User-based permissions. 👁 Updating 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.

1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
2. On the Settings page, go to the Access Tokens section and click Create PAT.
3. Give the PAT a name and click Create. 👁 Creating a new PAT
   
4. 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 SQL Server data from Airbyte.

Connect to SQL Server from Airbyte

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

1. Log in to your Airbyte account 👁 Logging into Airbyte
   
2. 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. SQL1.
   • 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
3. Click Test and Save to create the data source.

Create ELT Pipelines for SQL Server Data

To connect SQL Server 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.

Get CData Connect AI

To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from Airbyte, try CData Connect AI today!