CData Cmdlets for Google BigQuery 2019 - Online Help
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Getting Started

CData Cmdlets for Google BigQuery 2019 - Build 19.0.7354

Connecting to Google BigQuery

Establishing a Connection shows how to authenticate to Google BigQuery and configure any necessary connection properties. You can also configure cmdlet capabilities through the available Connection properties, from data modeling to firewall traversal. The Advanced Settings section shows how to set up more advanced configurations and troubleshoot connection errors.

Connecting from PowerShell

The CData Cmdlets PowerShell Module for Google BigQuery 2019 provides a familiar way to interact with Google BigQuery from PowerShell. The cmdlets provide a standard PowerShell interface and an SQL interface to live data. The CData cmdlets enable you to work with Google BigQuery using standard PowerShell objects; you can chain the cmdlets to each other or other cmdlets in pipelines. The cmdlets also support PowerShell debug streams.

Data Manipulation with Cmdlets

See Establishing a Connection to learn how to get started with the Connect-GoogleBigQuery cmdlet. You can then pass the GoogleBigQueryConnection object returned to other cmdlets for accessing data:

  • Select-GoogleBigQuery
  • Add-GoogleBigQuery
  • Update-GoogleBigQuery
  • Remove-GoogleBigQuery

Executing SQL from PowerShell

You can execute any SQL query with the Invoke-GoogleBigQuery cmdlet.

Accessing Debug Output from Streams

See Capturing Errors and Logging to obtain the debug output through PowerShell streams.

PowerShell Version Support

The standard cmdlets are supported in PowerShell 2, 3, 4, and 5.

Google BigQuery Version Support

The cmdlet enables read/write SQL-92 access to the BigQuery tables in your Google account or Google Apps domain. The complete aggregate and join syntax in BigQuery is supported. Additionally, statements in the BigQuery syntax can be passed through. The cmdlet uses version 2.0 of the BigQuery Web services API: You must enable this API by creating a project in the Google Developers Console. See Connecting to Google for a guide to creating a project and authenticating to this API.

 
 
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