Gcp Bq Data Loading

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by funnelenvy · vlatest · Repository

Helps with Google Cloud, data as part of deploying and managing cloud infrastructure workflows.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add gcp-bq-data-loading npx -- -y @trustedskills/gcp-bq-data-loading
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "gcp-bq-data-loading": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/gcp-bq-data-loading"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill enables AI agents to load data into Google BigQuery tables. It handles the complexities of connecting to GCP, authenticating, and formatting data for efficient loading. The agent can specify the source file (e.g., CSV, JSON), target dataset and table within BigQuery, and any necessary transformation options.

When to use it

  • Automated Data Pipelines: Schedule regular data imports from external sources into your BigQuery warehouse.
  • Data Migration: Quickly move datasets from local files or cloud storage (like Google Cloud Storage) into BigQuery for analysis.
  • Real-time Analytics: Ingest streaming data directly into BigQuery to power dashboards and reports.
  • ETL Processes: Integrate this skill as part of a larger Extract, Transform, Load (ETL) workflow.

Key capabilities

  • Connects to Google Cloud Platform (GCP).
  • Loads data from files into BigQuery tables.
  • Supports various file formats (CSV, JSON).
  • Handles authentication with GCP.

Example prompts

  • "Load the CSV file 'customer_data.csv' from my local machine into the 'marketing_dataset.customers' table in BigQuery."
  • "Import the JSON data from Google Cloud Storage bucket 'my-bucket' and file 'sales_data.json' into the 'analytics.orders' BigQuery table."
  • “Load the data, skipping the first row of headers.”

Tips & gotchas

  • Ensure your AI agent has appropriate permissions to access GCP resources and write to BigQuery datasets.
  • Large files may require configuring partitioning or clustering for optimal loading performance in BigQuery.

Tags

🛡️

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Details

Version
vlatest
License
Author
funnelenvy
Installs
9

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Passed automated security scans.