DataSuite ETL Developer Guide

Developer guide for getting started with DataSuite ETL workflows. This comprehensive documentation will guide you through understanding, setting up, and implementing ETL data pipelines using the DataSuite platform.

What You'll Learn

  • System Architecture: Understanding the complete DataSuite ETL ecosystem

  • Environment Setup: Getting your local development environment running

  • Pipeline Development: Building ETL workflows with LogStash and DBT

  • Testing & Validation: Ensuring data quality and pipeline reliability

Prerequisites

  • Docker and Docker Compose installed

  • Basic understanding of SQL and data concepts

  • Familiarity with command line operations

  • 8GB+ RAM recommended for full stack

🏗️ Architecture & Design

Start here to understand the system before implementation.

⚙️ Environment Setup

Get your development environment up and running.

🛠️ Development Workflow

Build and customize your ETL pipelines.

🚨 Troubleshooting

Resolve common issues and debug problems.

Quick Start Path

New to DataSuite? Follow this recommended learning path:

  1. 📖 Read System Overview to understand the big picture

  2. 🚀 Complete Quick Start Setup to get running fast

  3. ✅ Run Service Verification to confirm everything works

  4. 🔧 Follow DBT Getting Started for your first pipeline

  5. 📊 Build your first model with DBT Modeling Guide

Expected Outcomes

After completing this guide, you will be able to:

  • ✅ Set up a complete DataSuite ETL development environment

  • ✅ Configure LogStash for data ingestion from various sources

  • ✅ Build dimensional data models using DBT

  • ✅ Test and validate your data transformations

  • ✅ Troubleshoot common pipeline issues

Getting Help

  • 🐛 Issues: Check troubleshooting guides first

  • 📚 Documentation: All guides include detailed examples and explanations

  • 🔍 Search: Use your browser's search function to find specific topics


Ready to get started? Begin with the System Overview to understand how all the pieces fit together.

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