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Data Warehouse and Analytics Project\n\nWelcome to the **Data Warehouse and Analytics Project** repository.\nThis project demonstrates a comprehensive data warehousing and analytics project, from building a data warehouse to generating actionable insights.\n\n---\n\n## 🏗️ Data Architecture\nThe data architecture for this project follows Medallion Architecture Bronze, Silver, and Gold layers\n\n![Data Architecture](https://github.com/bhaveshharmalkar/sql-data-warehouse-project/blob/main/docs/data_architecture.png)\n\n---\n\n## 📖 Project Overview\n\nProject Involves:\n1. **Data Architecture**: Designing a Modern Data Warehouse Using Medallion Architecture Bronze, Silver, and Gold layers.\n2. **ETL Pipelines**: Extracting, transforming, and loading data from source systems into the warehouse.\n3. **Data Modeling**: Developing fact and dimension tables optimized for analytical queries.\n4. **Analytics \u0026 Reporting**: Creating SQL-based reports and dashboards for actionable insights.\n\n---\n\n## 🚀 Project Requirement\n\n### Building the Data Warehouse (Data Engineering)\n\n**Objective**\n\nDevelop a modern data warehouse using SQL Server to consolidate sales data, enabling analytical reporting and informed decision-making.\n\n**Specifications**\n- **Data Sources**: Import data from two source systems (ERP and CRM) provided as CSV files.\n- **Data Quality**: Cleanse and resolve data quality issues prior to analysis.\n- **Integration**: Combine both sources into a single, user-friendly data model designed for analytical queries.\n- **Scope**: Focus on the latest dataset only; historization of data is not required.\n- **Documentation**: Provide clear documentation of the data model to support both business stakeholders and analytics teams.\n\n---\n\n### BI: Analytics \u0026 Reporting (Data Analysis)\n\n**Objective**\n\nDevelop SQL-based analytics to deliver detailed insights into:\n\n- **Customer Behavior**\n- **Product Performance**\n- **Sales Trends**\n\nThese insights empower stakeholders with key business metrics, enabling strategic decision-making.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbhaveshharmalkar%2Fsql-data-warehouse-project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbhaveshharmalkar%2Fsql-data-warehouse-project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbhaveshharmalkar%2Fsql-data-warehouse-project/lists"}