Getting Started with the CData PowerShell Cmdlets for BigQuery Data

This guide explains everything you need to get started with the Google BigQuery PowerShell Cmdlets. You'll learn how to install the cmdlets, configure your first connection, run queries, and explore next steps for working with BigQuery data in PowerShell.

Getting Started

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Installation & Licensing

System Requirements

CData PowerShell Cmdlets run anywhere PowerShell runs.

Windows

• Windows 10/11
• Windows Server 2016+
• PowerShell 5.1 or PowerShell 7+

macOS & Linux

• PowerShell 7+
• No additional system libraries required
• No architecture-specific installers

Installing the Cmdlets

CData Cmdlets are delivered through the PowerShell Gallery, ensuring a simple and consistent installation process across platforms.

Installation Steps

1. Open PowerShell in Administrator mode
2. Run the following command to install the cmdlet module:

   Install-Module GoogleBigQueryCmdlets -Repository PSGallery -Force

   This command:

   • Downloads the module from the official PowerShell Gallery
   • Installs it into your PowerShell environment
   • Registers all cmdlets for immediate use

Module Verification

To verify installation:

Get-Module -ListAvailable "*GoogleBigQuery*"

Licensing

The cmdlets support both trial and fully licensed activation.

Trial Licensing

Trial activation is automatic - no key is required. Once installed, you can begin using the cmdlets immediately.

Activating a Full License

If you have purchased a full license, you will receive a product key from the CData Orders Team.

Activate Your License

Run the following command:

Set-ModuleLicense ""

You should see a confirmation message indicating successful activation.

Common Licensing Questions

Can I use my license on multiple machines?

Depending on your subscription tier. Refer to your order confirmation or contact [email protected].

I lost my license key. What do I do?

Email [email protected] with your order number to have it resent.

Can I transfer my license to another machine?

Submit a license transfer request here: https://www.cdata.com/lic/transfer/.

Where can I manage my license?

Visit the CData Customer Portal: https://portal.cdata.com/.

Connection Configuration

Once the module is installed and licensed, you can establish a connection to BigQuery using the

Connect-BigQuery cmdlet

After obtaining the needed connection properties, accessing BigQuery data in PowerShell and preparing for replication consists of four basic steps.

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.

Collecting BigQuery Data

1. Install the module:

   Install-Module GoogleBigQueryCmdlets

2. Connect to BigQuery:

    $googlebigquery = Connect-GoogleBigQuery -DataSetId $DataSetId -ProjectId $ProjectId -InitiateOAuth $InitiateOAuth
    

Querying BigQuery Data in PowerShell

Once connected, you can query data using standard SQL like commands.

Example Query:

$results = Select-GoogleBigQuery `
 -Connection $conn `
 -Table "Orders" `
 -Columns "OrderName,Freight" `
 -Where "OrderName != ''"

Display the results:

$results

You have now successfully accessed BigQuery data from PowerShell!

Common Issues

Authentication Failed

Solution: Verify username, password, and security token. For OAuth applications, you may need to authorize CData in your application's security settings. Contact [email protected] for authorization assistance.

Network or Proxy Issues

Solution: Confirm firewall settings and outbound access. Most cloud applications use port 443.

Cmdlet Not Found

Solution: Ensure the module is installed-

Get-Module -ListAvailable "*BigQuery*"

Slow Queries

Solution:

• Add filters to reduce dataset size
• Use $Limit or $Top properties where supported
• Contact [email protected] for optimization help

For additional connection troubleshooting, contact [email protected] with your specific error message.

What's Next?

Now that you have installed, licensed, and configured the PowerShell Cmdlets, here are some scenarios you can use to explore:

Get Support

If you need assistance:

• Technical Support: [email protected]
• Community Forum: CData Community Site
• Help Documentation: Installed locally and available online

FAQs (PowerShell Cmdlets)

Installation & Licensing

• Do I need administrator rights to install the cmdlets?

Not always.

• Windows PowerShell 5.1 (Windows): Administrator rights are recommended, especially when installing modules for all users.
• PowerShell 7+ (Windows, macOS, Linux): You can install cmdlets for the current user without admin rights using:

  Install-Module GoogleBigQueryCmdlets -Scope CurrentUser

• Do I need to download an installer?

CData PowerShell Cmdlets are delivered through the PowerShell Gallery. Installation is performed via:

Install-Module GoogleBigQueryCmdlets -Repository PSGallery -Force

Connecting

• How do I connect to multiple accounts for the same data source?

Create separate connection objects-each with different authentication properties:

$conn1 = Connect-GoogleBigQuery -User User1 -Password Pwd1

$conn2 = Connect-GoogleBigQuery -User User2 -Password Pwd2

• Does PowerShell Cmdlets require a DSN?

Cmdlets do not use ODBC DSNs. All connection properties are passed directly in

Connect-BigQuery

• Can I connect through a proxy server?

Many cmdlets support proxy properties such as:

• ProxyServer
• ProxyPort
• ProxyUser
• ProxyPassword

Refer to the data-source-specific Help documentation.

Performance & Troubleshooting

• Why are my queries slow?

Common causes:

• Missing filters (e.g., no WHERE clause)
• Pulling large result sets
• Latency from cloud APIs
• Not using incremental strategies

Try:

• Filtering data (-Where parameter)
• Selecting only required columns
• Reviewing API throttling limits for your data source

Contact [email protected] for query optimization assistance.

• How do I enable logging?

Enable module logging with:

Set-ModuleLogging -Path "C:\logs\cdata.log" -Verbosity 3

Upload the log file securely when working with CData Support.
• What ports need to be open?

Most cloud applications (Salesforce, HubSpot, Dynamics, Google APIs, etc.) use: HTTPS (443)

If your source requires additional ports, check its specific documentation or contact [email protected].

• Can I use the cmdlets in containers (Docker, Kubernetes)?

Install PowerShell 7 in the container and install the module:

pwsh -Command "Install-Module GoogleBigQueryCmdlets -Force"

Then authenticate normally.

General

• Where can I find all supported SQL/command operations?

Each cmdlet includes a Help documentation set installed locally and available online: https://www.cdata.com/powershell/.

• How often are PowerShell Cmdlets updated?

CData releases major annual updates plus incremental updates throughout the year. Check your customer portal or contact [email protected] for version availability.

• Where can I find code examples?

Every Cmdlet includes examples in the Help documentation, plus online examples for many services: https://www.cdata.com/powershell/. Examples include:

• Basic queries
• Insert/update/delete
• OAuth flows
• File operations
• API integration

For questions not covered in this FAQ, [email protected].