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Dimensional Modeling Project with Azure Postgre, dbt Core and Looker

Overview

This project demonstrates the implementation of a dimensional model on a remote PostgreSQL database hosted on Azure, using DBeaver for ETL processes. Dimensional modeling is a data modeling technique used to structure data warehouses for efficient querying and reporting. The project includes the design and deployment of a star schema to support business intelligence and data analytics.

Table of Contents

Getting Started Prerequisites Project tasks

Getting Started

Prerequisites

PostgreSQL client Azure account with a PostgreSQL database instance VSCode git DBeaver

Project tasks

Week 1: Clone the repo and access it using VS Code Week 2: Load data to PostgreSQL

Week 1

Create new repository in GitHub, and launch VSCode In VSCode open terminal navigating to View > Terminal Clone repository: git clone https://github.com/ksenia0301/modern_tools.git

Week 2

Open DBeaver.

Click on the New Database Connection button or navigate to Database > New Database Connection.

Select PostgreSQL from the list of database drivers and click Next.

Enter the connection details:

  • Host: your-db-host
  • Port: 5432
  • Database: your-db-name
  • Username: your-db-user
  • Password: your-db-password

Create database and schema in DBeaver with SQL:

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