google-big-queryHow can I use Google BigQuery and Looker together to analyze data?
Google BigQuery and Looker are two powerful tools that can be used together to analyze data. BigQuery is a cloud-based data warehouse that allows you to store and query large datasets, while Looker is a data analytics platform that allows you to connect to BigQuery and explore your data.
Here is an example of how to use the two tools together:
- Create a BigQuery dataset and upload your data.
- Connect Looker to BigQuery by adding your BigQuery project ID and credentials to the Looker connection.
- Create LookML models in Looker to explore the data in BigQuery.
SELECT *
FROM dataset.table
WHERE category = 'sales'
This example query will return all records from the table in the dataset where the category is set to 'sales'.
Helpful links
More of Google Big Query
- How can I compare Google BigQuery and AWS Redshift for software development?
- What are the advantages and disadvantages of using Google BigQuery?
- How do I sign in to Google Big Query?
- How do I rename a column in Google BigQuery?
- How can I use Google BigQuery to create a pivot table?
- How do I use the syntax of Google Big Query?
- How do I find the Google BigQuery project ID?
- How can I use Terraform to create and manage Google BigQuery resources?
- How do I use Google BigQuery Sandbox?
- How do I use Google Big Query SQL for software development?
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