Data Warehouse Development README

Overview

This repository contains the development process and artifacts for building a data warehouse. The data warehouse is designed to store and manage data related to customers, channels, products, dates, purchase history, and visit history.

Project Structure

The project is organized as follows:

• models/: Contains YAML files defining the data model including dimensions and fact tables.
• README.md: This README file providing an overview of the project.
• Other relevant files and documentation.

Data Model

The data model consists of the following components:

Dimensions

1. dim_customers: Contains details of all customers including anonymous users who used guest checkout.
2. dim_channels: Stores data related to different channels.
3. dim_products: Holds information about products.
4. dim_date: Stores date-related data.

Fact Tables

1. fct_purchase_history: Records customers' order history.
2. fct_visit_history: Tracks customers' visit history.

Development Process

1. Model Definition: Define the data model including dimensions and fact tables in YAML format under the models/ directory.
2. Validation: Validate the data model for correctness, completeness, and consistency.
3. Implementation: Implement the data model in the chosen database system, ensuring proper schema design and indexing for performance.
4. Data Loading: Load data into the warehouse from various sources such as transactional databases, CSV files, APIs, etc.
5. Testing: Test the data warehouse to ensure data integrity, accuracy, and performance.
6. Documentation: Document the data warehouse schema, ETL processes, and any other relevant information.
7. Deployment: Deploy the data warehouse to the production environment.

Contributing

Contributions to the development process and improvement of the data warehouse are welcome. Please fork the repository, make your changes, and submit a pull request.

License

This project is licensed under the MIT License.