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

⇱ Build Data Flows from BigQuery to SQL Server using SSIS

Build Data Flows from BigQuery to SQL Server using SSIS

👁 Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Easily back up BigQuery data to SQL Server using the SSIS components for BigQuery.

Using SQL Server as a backup for critical business data provides an essential safety net against loss. Backing up data to SQL Server enables business users to more easily connect that data with features like reporting, analytics, and more.

This example demonstrates how to use the CData SSIS Tasks for BigQuery inside of a SQL Server SSIS workflow to transfer BigQuery data into a Microsoft SQL Server database.

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 the Components

To get started, add a new BigQuery source and SQL Server ADO.NET destination to a new data flow task.

👁 The Data Flow task used in this example. (Salesforce is shown.)

Create a New Connection Manager

Follow the steps below to save BigQuery connection properties in a connection manager.

  1. In the Connection Manager window, right-click and then click New Connection. The Add SSIS Connection Manager dialog is displayed.
  2. In the Connection Manager type menu, select GoogleBigQuery. The CData BigQuery Connection Manager is displayed.
  3. Configure 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.

    👁 Configuring a connection (Salesforce is shown).

Configure the BigQuery Source

Follow the steps below to specify the query to be used to extract BigQuery data.

  1. Double-click the BigQuery source to open the source component editor.
  2. In the Connection Manager menu, select the connection manager previously created.
  3. Specify the query to use for the data extraction. For example: 
    SELECT OrderName, Freight FROM Orders
    👁 The SQL query to retrieve records. (Salesforce is shown.)
  4. Close the BigQuery Source control and connect it to the ADO.NET Destination.

Configure the SQL Server Destination

Follow the steps below to specify the SQL server table to load the BigQuery data into.

  1. Open the ADO.NET Destination and add a New Connection. Enter your server and database information here.
  2. In the Data access mode menu, select "table or view".
  3. In the Table Or View menu, select the table or view to populate.
  4. Configure any properties you wish to on the Mappings screen. 👁 The mappings from the SSIS source component to SQL Server. (Salesforce is shown.)

Run the Project

You can now run the project. After the SSIS Task has finished executing, your database will be populated with BigQuery data.

👁 The completed import. (Salesforce is shown.)

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!