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Analyze BigQuery Usage

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Uncover BigQuery cost drivers and optimize performance.

Data & Analytics#gcp#data-analysis#cost-optimization#bigquery#cloud-costs#query-performance
Authoropenshift-eng
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill identifies expensive BigQuery queries, analyzes usage patterns, and provides actionable recommendations to significantly reduce cloud costs while improving query performance.

Core Features & Use Cases

  • Cost Analysis: Pinpoint the most expensive queries and users driving your BigQuery spending.
  • Usage Pattern Detection: Identify inefficient query patterns, anti-patterns, and optimization opportunities.
  • Use Case: When your team's BigQuery costs are unexpectedly high, use this Skill to analyze the last 7 days of usage, discover that automated dashboard queries are scanning full tables unnecessarily, and get specific recommendations to save $50+ per day.

Quick Start

Analyze BigQuery usage for project 'my-gcp-project' over the last 24 hours to identify cost-saving opportunities.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: Analyze BigQuery Usage
Download link: https://github.com/openshift-eng/ai-helpers/archive/main.zip#analyze-usage

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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