Welcome to "sql-data-warehouse-project".

This project involves:

Data Architecture: Designing a Modern Data Warehouse Using Medallion Architecture Bronze, Silver, and Gold layers.

ETL Pipelines: Extracting, transforming, and loading data from source systems into the warehouse.

Data Modeling: Developing fact and dimension tables optimized for analytical queries.

Analytics & Reporting: Creating SQL-based reports and dashboards for actionable insights.

Building the Data Warehouse (Data Engineering) Objective: Develop a modern data warehouse using SQL Server to consolidate sales data, enabling analytical reporting and informed decision-making.

Specifications Data Sources: Import data from two source systems (ERP and CRM) provided as CSV files.

Data Quality: Cleanse and resolve data quality issues prior to analysis.

Integration: Combine both sources into a single, user-friendly data model designed for analytical queries.

Scope: Focus on the latest dataset only; historization of data is not required.

Documentation: Provide clear documentation of the data model to support both business stakeholders and analytics teams.

BI: Analytics & Reporting (Data Analysis) Objective: Develop SQL-based analytics to deliver detailed insights into:

Customer Behavior

Product Performance

Sales Trends

These insights empower stakeholders with key business metrics, enabling strategic decision-making.