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google-cloud-data-engineering-hub

Official

Build GCP data engineering pipelines with BigQuery, Dataflow, Beam, and more.

Software Engineering#data engineering#BigQuery#Vertex AI#Google Cloud Platform#Cloud Composer#Dataflow#Apache Beam#Dataproc
AuthorAradotso
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill empowers you to create robust, production-grade data engineering pipelines on Google Cloud Platform (GCP), using tools like BigQuery, Dataflow, Beam, and Vertex AI, to handle large-scale data processing and analytics tasks.

Core Features & Use Cases

  • Comprehensive GCP Data Engineering Projects: Access a curated collection of complete, runnable projects that showcase the capabilities of BigQuery, Dataflow, Beam, Cloud Composer, Pub/Sub, Dataproc, Gemini AI, and Vertex AI.
  • Modular Python Code: Projects are built with modular Python code, making it easier to understand and extend.
  • ASCII Architecture Diagrams: Each project comes with ASCII diagrams to visualize the architecture.
  • Sample Data Fixtures: Provides sample data to get started quickly.
  • Deployment Automation: Automated deployment scripts for GCP setup and project configuration.
  • Use Case: Deploy a fully functional data engineering pipeline to process large datasets using BigQuery and Dataflow in your GCP environment.

Quick Start

Use the 'gcp-data-engineering' skill to deploy the 'BigQuery Data Ingestion Pipeline' project in your GCP account.

Dependency Matrix

Required Modules

None required

Components

scriptsreferencesassets

💻 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: google-cloud-data-engineering-hub
Download link: https://github.com/Aradotso/data-skills/archive/main.zip#google-cloud-data-engineering-hub

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