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URL: https://www.cdata.com/kb/tech/bigquery-ssis-task-export-2008.rst

⇱ Build Data Flows from SQL Server to BigQuery through SSIS

Build Data Flows from SQL Server to BigQuery through SSIS

👁 Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Easily push SQL Server data to BigQuery using the CData SSIS Tasks for BigQuery.

👁 The data source modeled as tables.

SQL Server databases are commonly used to store enterprise records. It is often necessary to move this data to other locations. The CData SSIS Task for BigQuery allows you to easily transfer BigQuery data. In this article you will export data from SQL Server to BigQuery.

About BigQuery Data Integration

CData simplifies access and integration of live Google BigQuery data. Our customers leverage CData connectivity to:

  • Simplify access to BigQuery with broad out-of-the-box support for authentication schemes, including OAuth, OAuth JWT, and GCP Instance.
  • Enhance data workflows with Bi-directional data access between BigQuery and other applications.
  • Perform key BigQuery actions like starting, retrieving, and canceling jobs; deleting tables; or insert job loads through SQL stored procedures.

Most CData customers are using Google BigQuery as their data warehouse and so use CData solutions to migrate business data from separate sources into BigQuery for comprehensive analytics. Other customers use our connectivity to analyze and report on their Google BigQuery data, with many customers using both solutions.

For more details on how CData enhances your Google BigQuery experience, check out our blog post: https://www.cdata.com/blog/what-is-bigquery


Getting Started


Add Source and Destination Components

To get started, add a new ADO.NET Source control and a new BigQuery Destination control to the data flow task.

👁 The source and destination components used in this example.

Configure the ADO.NET Source

Follow the steps below to specify properties required to connect to the SQL Server instance.

  1. Open the ADO.NET Source and add a new connection. Enter your server and database information here.
  2. In the Data access mode menu, select "Table or view" and select the table or view to export into BigQuery.
  3. Close the ADO NET Source wizard and connect it to the destination component.
👁 The SQL Server table to export into BigQuery.

Create a New Connection Manager for BigQuery

Follow the steps below to set required connection properties in the Connection Manager.

  1. Create a new connection manager: In the Connection Manager window, right-click and then click New Connection. The Add SSIS Connection Manager dialog is displayed.
  2. Select CData GoogleBigQuery Connection Manager in the menu.
  3. Configure the connection properties.

    Google uses the OAuth authentication standard. To access Google APIs on behalf of individual users, you can use the embedded credentials or you can register your own OAuth app.

    OAuth also enables you to use a service account to connect on behalf of users in a Google Apps domain. To authenticate with a service account, register an application to obtain the OAuth JWT values.

    In addition to the OAuth values, specify the DatasetId and ProjectId. See the "Getting Started" chapter of the help documentation for a guide to using OAuth.

Configure the BigQuery Destination

In the destination component Connection Manager, define mappings from the SQL Server source table into the BigQuery destination table and the action you want to perform on the BigQuery data. In this article, you will insert Orders entities to BigQuery.

  1. Double-click the BigQuery destination to open the destination component editor.
  2. In the Connection Managers tab, select the connection manager previously created.
  3. In the Use a Table, menu, select Orders. In the Action menu, select Insert. 👁 The destination table and action to be performed.
  4. On the Column Mappings tab, configure the mappings from the input columns to the destination columns. 👁 The mappings from the SQL Server source to the SSIS destination component.

Run the Project

You can now run the project. After the SSIS Task has finished executing, data from your SQL table will be exported to the chosen table.

👁 The SQL Server table to export into BigQuery.

Ready to get started?

Download a free trial of the Google BigQuery SSIS Component to get started:

 Download Now

Learn more:

👁 Google BigQuery Icon
Google BigQuery SSIS Components

Powerful SSIS Source & Destination Components that allows you to easily connect SQL Server with live Google BigQuery data through SSIS Workflows.

Use the Google BigQuery Data Flow Components to synchronize with Google BigQuery Tables and Datasets. Perfect for data synchronization, local back-ups, workflow automation, and more!