DBT-Powered Shop Application

Overview:

This project demonstrates the use of dbt to build a simplified e-commerce shop application using SQL. DBT provides a structured and efficient approach to data modeling and transformation, making it ideal for managing the complex data requirements of such an application.

Key Features:

• Data Modeling: Utilizes dbt to create a robust data model, defining entities like products, customers, orders, and their relationships.
• Data Transformation: Employs dbt's transformation capabilities to clean, normalize, and enrich the raw data, ensuring data quality and consistency.
• Data Warehouse Integration: Integrates the shop's data with a data warehouse: Google Bigquery for analytics and reporting purposes.
• Modular Architecture: Leverages dbt's modular architecture to organize code into reusable models, promoting maintainability and scalability.

Project Structure:

• models/: Contains dbt models defining the data structure and transformations.
• macros/: Houses reusable macros for common data operations.
• tests/: Includes tests to validate data quality and model correctness.
• docs/: Provides documentation on the project's structure, usage, and best practices.

Getting Started:

1. Clone the Repository:

   git clone https://github.com/pierrealex78/pierrealex_shop/

2. Set Up Environment: Configure your dbt environment (DBT Cloud) using the provided configuration files.
3. Run DBT Commands:: Use dbt commands to build models, test data, and deploy to your data warehouse. Try running the following commands:

   dbt build

   dbt test

   dbt run

Best practices

DBT developped its own way of structuring the Data transformation cycle:

• Sources: source data from Jaffle shop dbt-tutorials
• Staging: first transformation on the data
• Mart: Data is ready for data analysts and data scientists to perform analysises and predictions

There is even more about the way it can be tested and implemented:

• Tests: tests of quality and freshness of the data ingested from the sources
• Configuration: using yaml files for declarative configurations

Resources:

• Learn more about dbt in the docs
• Check out Discourse for commonly asked questions and answers
• Join the dbt community to learn from other analytics engineers
• Find dbt events near you
• Check out the blog for the latest news on dbt's development and best practices