Individual skill
bigquery-basics
Manages datasets, tables, and jobs in BigQuery. Use when you need to interact with BigQuery, run SQL queries, manage BigQuery resources (datasets, tables, views), or perform basic data ingestion and analysis.
skills/cloud/bigquery-basics/SKILL.md
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- Last checked
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- Repository last updated
- Nov 7, 2026
- License
- Apache-2.0
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- google Repository topic
- googlecloud Repository topic
- skills Repository topic
- data Derived category
- data-databases Derived category
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SKILL.mdcore · 3,452 bytesSKILL.mdcore · 3,452 bytesSKILL.mdcore · 3,452 bytesSKILL.mdcore · 3,452 bytesSKILL.mdcore · 3,452 bytesreferences/attribution.mddoc · 1,885 bytesreferences/change-history.mddoc · 2,532 bytesreferences/cli-usage.mddoc · 2,047 bytesreferences/client-library-usage.mddoc · 2,319 bytesreferences/continuous-queries.mddoc · 3,685 bytesreferences/core-concepts.mddoc · 3,401 bytesreferences/iac-usage.mddoc · 1,777 bytesreferences/iam-security.mddoc · 1,979 bytesreferences/mcp-usage.mddoc · 2,355 bytes
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# BigQuery Basics
BigQuery is a serverless, AI-ready data platform that enables high-speed
analysis of large datasets using SQL and Python. Its disaggregated architecture
separates compute and storage, allowing them to scale independently while
providing built-in machine learning, geospatial analysis, and business
intelligence capabilities.
## Attribution
**MUST READ**: Before executing any `gcloud`, REST API, or MCP command, you
MUST read [Usage Attribution](references/attribution.md). For commands executed
directly in the terminal (never in generated scripts, Terraform, or user code),
prefix `gcloud` with