Data Warehouse and Analytics Project

Welcome to the Data Warehouse and Analytics Project repository!
This project demonstrates a comprehensive data warehousing and analytics solution, from building a data warehouse to generating actionable insights. It highlights industry best practices in data engineering and analytics.

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Data Architecture

The data architecture for this project follows Medallion Architecture Bronze, Silver, and Gold layers:

1. Bronze Layer: Stores raw data as-is from the source systems. Data is ingested from CSV Files into PostgreSQL Server Database.
2. Silver Layer: This layer includes data cleansing, standardization, and normalization processes to prepare data for analysis.
3. Gold Layer: Houses business-ready data modeled into a star schema required for reporting and analytics.

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Project Overview

This project involves:

1. Data Architecture: Designing a Modern Data Warehouse Using Medallion Architecture Bronze, Silver, and Gold layers.
2. ETL Pipelines: Extracting, transforming, and loading data from source systems into the warehouse.
3. Data Modeling: Developing fact and dimension tables optimized for analytical queries.
4. Analytics & Reporting: Creating SQL-based reports and dashboards for actionable insights.

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Documents: Project Modeling Docs

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Dharmesh Rohit