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bigquery

Inspect BigQuery datasets and run cost-estimated SQL queries.

41|8|Updated Mar 20, 2024
Search Tags:#data-analysis#bigquery#search-console#ga4#cost-management#data-discovery#schema-inspection
One-click install
npx skills add https://github.com/sora32127/healthy-person-emulator-dotorg --skill bigquery-sora32127
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bigquery
Source: https://github.com/sora32127/healthy-person-emulator-dotorg/tree/main/.agent/skills/bigquery
Command: npx skills add https://github.com/sora32127/healthy-person-emulator-dotorg --skill bigquery-sora32127

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps data analysts and engineers quickly understand BigQuery datasets, identify schemas, and run exploratory queries without blowing through cost budgets.

Core Features & Use Cases

  • Dataset discovery and schema inspection across analytics_353281755, searchconsole, HPE_RAW, and HPE_REPORTS.
  • Cost-aware query planning: estimate and constrain scanned data before running queries.
  • Common GA4 and Search Console use cases: ad hoc analysis, dashboards, trend exploration.
  • Guided workflow: from dataset discovery to running safe queries with best practices.

Quick Start

Run a sample query to count page_view events in the last 7 days from analytics_353281755.events_*

Frequently Asked Questions about bigquery

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I estimate BigQuery query costs before running a query?▼

Inspect BigQuery dataset schemas by navigating through datasets like analytics_353281755, searchconsole, HPE_RAW, and HPE_REPORTS. Schema inspection identifies available tables and fields, enabling targeted standard SQL queries without budget risks.

How do I extract GA4 event data from BigQuery for ad hoc analysis?▼

This skill supports querying Search Console data stored in BigQuery for ad hoc analysis and trend exploration. It enables dataset discovery and schema inspection within the searchconsole dataset to run safe, cost-aware queries.

What is the recommended workflow for running safe BigQuery queries?▼

The recommended workflow for safe BigQuery queries involves inspecting datasets, checking schemas, performing dry-run cost estimates, and executing targeted standard SQL queries. This guided process ensures cost-aware data discovery and extraction.

Can I inspect BigQuery schemas across different analytics datasets?▼

Yes, you can inspect BigQuery schemas across multiple datasets including analytics_353281755, searchconsole, HPE_RAW, and HPE_REPORTS. Dataset discovery and schema inspection identify table structures before executing cost-aware queries.

How do I avoid exceeding my budget when running BigQuery exploratory queries?▼

Avoid exceeding BigQuery query budgets by using dry-run cost estimates to evaluate scanned data volume before execution. Cost-aware query planning constrains data scans, ensuring exploratory queries deliver quick results safely.

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