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google/cloud/bigquery-basics

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About google/cloud/bigquery-basics

G

google/cloud/bigquery-basics

Manages datasets, tables, and jobs in BigQuery, and integrates

bigquery-basics is an agent skill for managing datasets, tables and jobs in BigQuery, Google Cloud's serverless data platform. It is for running SQL queries, creating and managing datasets, tables and views, and doing basic data ingestion and analysis. BigQuery separates compute from storage so each scales independently, and it includes machine learning, geospatial analysis and business intelligence features. The quick start enables the BigQuery API, creates a dataset, defines a table from a schema.json file and creates it with the bq tool, and runs a query. Its reference directory covers core concepts, change history with APPENDS and CHANGES, continuous queries for real-time analysis, the bq command-line tool, client libraries for Python, Java, Node.js and Go, the BigQuery remote MCP server, Terraform for datasets and reservations, IAM and governance, and the usage attribution tags that apply to gcloud, REST and MCP calls. If a product detail is not in those references, the skill suggests the Developer Knowledge MCP server. It is part of the google/skills repository on GitHub. The listing shows it as free.

Price
Free
Made by
google
Category
AI Skills
Website
github.com/google/skills/bigquery-basics