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. Learn more
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Documentation resources
Guides
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Quickstarts: Console, Command line, or Client libraries
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Creating and using tables
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Introduction to partitioned tables
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Introduction to BigQuery ML
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Predefined roles and permissions
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Introduction to loading data
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Loading CSV data from Cloud Storage
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Exporting table data
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Create machine learning models in BigQuery ML
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Querying external data sources
Reference
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Functions in GoogleSQL
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Operators in GoogleSQL
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Conditional expressions in GoogleSQL
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Date functions in GoogleSQL
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Query syntax in GoogleSQL
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String functions in GoogleSQL
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Using the bq command-line tool
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End-to-end journey for machine learning models
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BigQuery API Client Libraries
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Creating and training models
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