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@@ -5,20 +5,20 @@ Welcome to the **Data Warehouse and Analytics Project** repository! 🚀
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This project demonstrates a comprehensive data warehousing and analytics solution, from building a data warehouse to generating actionable insights. Designed as a portfolio project, it highlights industry best practices in data engineering and analytics.
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## 📖 Project Overview
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This project involves:
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1.**Data Architecture**: Designing a robust data warehouse with**Bronze**, **Silver**, and **Gold** layers.
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1.**Data Architecture**: Designing a Modern Data Warehouse Using Medallion Architecture**Bronze**, **Silver**, and **Gold** layers.
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2.**ETL Pipelines**: Extracting, transforming, and loading data from source systems into the warehouse.
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3.**Data Modeling**: Developing fact and dimension tables optimized for analytical queries.
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4.**Analytics & Reporting**: Creating SQL-based reports and dashboards for actionable insights.
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This repository is an excellent resource for professionals and students looking to showcase expertise in:
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- SQL Development
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- SQL Development
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- Data Architect
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- Data Engineering
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- ETL Pipeline Design
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- ETL Pipeline Developer
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- Data Modeling
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- Data Analytics
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For more details, refer to [docs/requirements.md](docs/requirements.md).
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## 🏗️ Data Architecture
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The data architecture for this project follows Medallion Architecture **Bronze**, **Silver**, and **Gold** layers:
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1.**Bronze Layer**: Stores raw data as-is from the source systems. Data is ingested in a batch process and retains its original form to serve as a source of truth.
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2.**Silver Layer**: Contains cleaned, standardized, and enriched data. This layer includes data cleansing, standardization, and normalization processes to prepare data for analysis.
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3.**Gold Layer**: Houses business-ready data modeled into a star schema. This layer integrates business logic and transformations required for reporting and analytics.
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