https://github.com/justinjsd/analytics-engineering

📊 A repository focusing on analytics engineering, particularly using dbt on the Northwind Sample dataset
https://github.com/justinjsd/analytics-engineering

analytics bigquery dbt engineering sql

Last synced: 1 day ago
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📊 A repository focusing on analytics engineering, particularly using dbt on the Northwind Sample dataset

• Host: GitHub
• URL: https://github.com/justinjsd/analytics-engineering
• Owner: justinjsd
• Created: 2024-11-04T06:51:24.000Z (10 days ago)
• Default Branch: main
• Last Pushed: 2024-11-12T11:40:09.000Z (2 days ago)
• Last Synced: 2024-11-12T12:23:14.471Z (2 days ago)
• Topics: analytics, bigquery, dbt, engineering, sql
• Homepage: https://github.com/justinjsd/analytics-engineer-bootcamp
• Size: 1.09 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
# 📊 Analytics Engineering Bootcamp

Welcome to the Analytics Engineering Bootcamp project! This repository serves as a collection of my work and learnings throughout the bootcamp, focusing on developing skills in analytics engineering, particularly using dbt.

## 🛠️ Tech Stack

![dbt](https://img.shields.io/badge/dbt-FF694B?logo=dbt&logoColor=white&style=flat-square)

![BigQuery](https://img.shields.io/badge/BigQuery-4285F4?logo=googlebigquery&logoColor=white&style=flat-square)

![Git](https://img.shields.io/badge/Git-F05032?logo=git&logoColor=white&style=flat-square)

![GitHub](https://img.shields.io/badge/GitHub-181717?logo=github&style=flat-square)

## 🚀 Project Structure

- **ae_bootcamp/**: This folder contains all the project files and code developed during the bootcamp.

- **resources/**: This directory includes essential files and documentation needed for the project.

## 📁 Folder Overview

### ae_bootcamp/

In this directory, you will find:

- **dbt Models**: SQL models that transform raw data into usable analytics.

- **Documentation**: Information on how to use the models, including setup instructions and usage guidelines.

- **Tests**: Unit tests to ensure the quality and reliability of the models.

### resources/

This folder includes:

- **CSV Files**: Essential datasets required for the project.

- **Documentation**: Basic guides and references to support the project.

## 📚 Getting Started

To get started with the project, follow these steps:

1. **Clone the repository**:

   ```bash

   git clone https://github.com/yourusername/analytics-engineer-bootcamp.git