BigQuery documentation

BigQuery is Google Cloud's fully managed, petabyte-scale, and cost-effective analytics data warehouse that lets you run analytics over vast amounts of data in near real time. With BigQuery, there's no infrastructure to set up or manage, letting you focus on finding meaningful insights using GoogleSQL and taking advantage of flexible pricing models across on-demand and flat-rate options.

Go to the BigQuery product page for more.

Guides

• Quickstarts: Console, Command line, or Client libraries

• Creating and using tables

• Introduction to partitioned tables

• Introduction to BigQuery AI

• Predefined roles and permissions

• Introduction to loading data

• Loading CSV data from Cloud Storage

• Exporting table data

• Create machine learning models in BigQuery ML

• Querying external data sources

• Introduction to vector search

Reference

• Functions in GoogleSQL

• Operators in GoogleSQL

• Conditional expressions in GoogleSQL

• Date functions in GoogleSQL

• Query syntax in GoogleSQL

• String functions in GoogleSQL

• Using the bq command-line tool

• End-to-end journey for machine learning models

• BigQuery API Client Libraries

• Creating and training models

• Public datasets

• Feature preprocessing

Resources

• Pricing

• Release notes

• Locations

• Getting support

• Quotas and limits

• Controlling costs

• Creating custom cost controls

• Troubleshooting BigQuery quota errors

• Billing questions