Intro
Google BigQuery is a serverless, highly scalable, and cost-effective cloud data warehouse designed to help you make informed decisions quickly, so you can transform your business with ease. It’s a cloud-based big data analytics web service for processing very large read-only data sets. With this connector you can securely pull large data from a specified project into Domo. Google BigQuery queries are written using a variation of the standard SQL SELECT statement. Once your BigQuery data is in Domo, you can combine it with other data sources, find new insights, and collaborate your data. Use Domo's Google BigQuery High Bandwidth OAuth Connector to securely pull large data from a specified project and analyze it using SQL queries. To learn more about the BigQuery API, go to https://cloud.google.com/bigquery/docs/reference/v2/.
The Google BigQuery High Bandwidth OAuth Enterprise Connector is a "Cloud App" connector, meaning it retrieves data stored in the cloud. In the Data Center, you can access the connector page for this and other Cloud App connectors by clicking Cloud App in the toolbar at the top of the window.
This topic discusses the fields and menus that are specific to the Google BigQuery High Bandwidth OAuth Enterprise Connector user interface. General information for adding DataSets, setting update schedules, and editing DataSet information is discussed in Adding a DataSet Using a Data Connector.
Prerequisites
To connect to BigQuery you must have your client ID and client secret associated with your OAuth client.
Connecting to BigQuery
This section enumerates the options in the Credentials and Details panes in the Google BigQuery High Bandwidth OAuth Enterprise Connector page. The components of the other panes in this page, Scheduling and Name & Describe Your DataSet, are universal across most connector types and are discussed in greater length in Adding a DataSet Using a Data Connector.
Credentials Pane
The Domo Google BigQuery High Bandwidth OAuth Enterprise Connector uses OAuth to connect. You need to enter the client ID and client secret in Domo.
|
Field |
Description |
|---|---|
| Client ID | Enter your client ID. |
| Client Secret | Enter your client secret. |
Once you have entered valid credentials, you can use the same account any time you go to create a new Google BigQuery High Bandwidth OAuth Enterprise DataSet. You can manage connector accounts in the Accounts tab in the Data Center. For more information about this tab, see Managing User Accounts for Connectors.
Details Pane
This pane contains a primary Reports menu, along with various other menus which may or may not appear depending on the report type you select.
|
Menu |
Description |
||
|---|---|---|---|
|
Report |
Select the Google BigQuery High Bandwidth OAuth Enterprise report you want to run. The following reports are available:
|
||
| Project ID | Select a project from the available list of projects. | ||
|
DataSet ID |
Select the BigQuery dataset id for your data. For more information about the BigQuery datasets, see https://cloud.google.com/bigquery/docs/datasets-intro. |
||
| Google Cloud Storage Bucket Name | Select the Google Cloud Storage bucket name that will be used for temporary storage as the connector transfers your data into Domo. | ||
| User Query | Enter a query to execute. Only standard SQL query is supported. | ||
| Force To String | Enter a comma separated list of fields that needs to be treated as STRING in Domo. | ||
| Force To Number | Enter a comma separated list of fields that needs to be treated as NUMBER in Domo. |
Other Panes
For information about the remaining sections of the Connector interface, including how to configure scheduling, retry, and update options, see Adding a DataSet Using a Data Connector.
FAQs
What kind of credentials do I need to power up this connector?
You need your client ID and client secret associated with your OAuth client.
How often can the data be updated?
As often as needed.
Are there any API limits that I need to be aware of?
None
Troubleshooting
- Make sure your authentication remains valid.
- Review the configuration to make sure that all required items have been selected.
- Review the Connector history for error messages.
Comments
0 comments
Please sign in to leave a comment.