To access your data in Google Looker, create a connection asset for it.
Google Looker is a business intelligence software and big data analytics platform that helps you explore, analyze and share real-time business analytics.
Create a connection to Google Looker
To create the connection asset, you need these connection details:
- Hostname or IP address
- Port number of the Google Looker server
- Client ID and Client secret
Before you configure the connection, set up API3 credentials for your Google Looker instance. For details, see Google Looker API Authentication.
Choose the method for creating a connection based on where you are in the platform
- In a project
- Click Assets > New asset > Connect to a data source. See Adding a connection to a project.
- In a catalog
- Click Add to catalog > Connection. See Adding a connection asset to a catalog.
- In a deployment space
- Click Import assets > Data access > Connection. See Adding data assets to a deployment space.
- In the Platform assets catalog
- Click New connection. See Adding platform connections.
Next step: Add data assets from the connection
Where you can use this connection
You can use Google Looker connections in the following workspaces and tools:
Projects
- DataStage (DataStage service). See Connecting to a data source in DataStage.
- SPSS Modeler (watsonx.ai Studio)
Catalogs
-
Platform assets catalog
-
Other catalogs (IBM Knowledge Catalog)
Google Looker setup
Restriction
You can use this connection only for source data. You cannot write to data or export data with this connection.
Running SQL statements
To ensure that your SQL statements run correctly, refer to the Looker documentation, Using SQL Runner, for the correct syntax.
Supported file types
The Google Looker connection supports these file types: CSV, Delimited text, Excel, JSON.
Learn more
Parent topic: Supported connections