Open-Source Databases · DataWithBaraa

sql-data-warehouse-project

A comprehensive, MIT-licensed SQL Server data warehouse project demonstrating medallion architecture (Bronze/Silver/Gold layers) with ETL pipelines, data modeling, and analytics. Designed as an educational portfolio resource covering end-to-end data engineering and analytics workflows.

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Source: GitHub — github.com/DataWithBaraa/sql-data-warehouse-project

814

GitHub stars

620

Forks

TSQL

Primary language

MIT

License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

Field	Value
Repository	DataWithBaraa/sql-data-warehouse-project
Owner	DataWithBaraa
Primary language	TSQL
License	MIT — OSI-approved
Stars	814
Forks	620
Open issues	3
Latest release	2025 (2025-01-02)
Last updated	2025-04-23
Source	https://github.com/DataWithBaraa/sql-data-warehouse-project

What sql-data-warehouse-project is

T-SQL-based data warehouse implementation using SQL Server with three-layer medallion architecture: raw data ingestion (Bronze), cleansing/normalization (Silver), and star-schema analytics models (Gold). Includes ETL scripts, data quality tests, and SQL-based reporting examples.

Quickstart

Get the sql-data-warehouse-project source

Clone the repository and explore it locally.

terminalbash

1git clone https://github.com/DataWithBaraa/sql-data-warehouse-project.git2cd sql-data-warehouse-project3# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Educational & Portfolio Development

Ideal for data engineers, analysts, and students building portfolio projects or learning modern data warehouse design patterns. Demonstrates industry best practices in a self-contained, reproducible environment.

SQL Server Data Warehouse Proof-of-Concept

Provides a template and working reference implementation for organizations evaluating SQL Server as a data warehouse platform or piloting medallion architecture adoption.

Internal Training & Knowledge Sharing

Suitable as internal training material for teams learning data warehouse design, ETL development, and analytics modeling with SQL Server and T-SQL.

Implementation considerations

SQL Server Express is free but has CPU, memory, and database size limits; evaluate whether production needs justify SQL Server Standard/Enterprise licensing.
CSV ingestion is manual/scripted; production environments typically require automated orchestration (Azure Data Factory, SSIS, or third-party ETL tools).
No identity/access management, encryption, or audit logging specifics are documented; add organization-specific security controls before handling sensitive data.
Data quality and testing scripts are present but limited in scope; expand test coverage and add data profiling for production use.
Documentation is clear but assumes SQL Server familiarity; teams new to T-SQL or medallion architecture should allocate time for knowledge ramp-up.

When to avoid it — and what to weigh

Production Workloads Without Review — This is a portfolio/educational project. Production deployment requires security audit, performance tuning, scalability validation, and compliance assessment not provided in the repository.
Cloud-First or Non-SQL Server Environments — Project is SQL Server–specific (T-SQL, SQL Server Express). Organizations committed to Snowflake, BigQuery, or other cloud warehouses will need significant rework.
Large-Scale or Real-Time Data — Designed for CSV-based, batch-ingested, latest-snapshot data. Not intended for massive scale, streaming pipelines, or historical time-series requirements.
Without Independent Security & Compliance Validation — No security assessment, vulnerability scanning, or compliance documentation (HIPAA, GDPR, SOC2, etc.) is included. Requires independent evaluation before handling sensitive data.

License & commercial use

MIT License. Permissive OSI-approved license permitting use, modification, and redistribution for any purpose (commercial or non-commercial) provided original attribution is retained. No warranty or liability guarantees provided.

MIT License permits commercial use provided proper attribution is given. However, this is an educational portfolio project without production-grade security, performance, or compliance certifications. Commercial deployment requires independent validation, hardening, and support—not included in the license or repository.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

Signal	Assessment
Maintenance	Active
Documentation	Strong
License clarity	Clear
Deployment complexity	Moderate
DEV.co fit	Good
Assessment confidence	High

Security considerations

Project is educational and does not include detailed security hardening. Considerations for production: SQL Server authentication/authorization model, encryption at rest/in-transit, data masking for sensitive fields, audit logging, network isolation, and secure credential management are absent or not documented. CSV uploads and local data ingestion workflows lack validation against injection or poisoning. Any production use requires independent security architecture review and penetration testing.

Alternatives to consider

Databricks + Delta Lake

Cloud-native medallion architecture with managed infrastructure, multi-language support, and built-in governance. Better for scale and real-time analytics but higher cost and cloud-dependency.

Snowflake

Purpose-built cloud data warehouse with superior scalability, separation of compute/storage, and native BI integration. Easier operations but vendor lock-in and per-credit pricing model.

Azure Synapse Analytics

Microsoft's cloud warehouse for SQL Server teams; integrates with Azure ecosystem and Purview for governance. Reduces on-premises ops but requires Azure expertise and licensing.

Software development agency

Build on sql-data-warehouse-project with DEV.co software developers

This project provides a working blueprint for SQL Server data warehouse design. For production deployment, custom security hardening, cloud migration, or enterprise integration—Devco's data engineering team can help architect and implement your solution.

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sql-data-warehouse-project FAQ

Can I use this in production?

Only with significant additional work. This is an educational project. Production use requires security audit, performance testing, automated orchestration, compliance validation, and support setup—none of which are included.

What is the medallion architecture?

A three-layer data warehouse design: Bronze (raw data as-is), Silver (cleansed/normalized), Gold (business-ready star schema). This project demonstrates the pattern using SQL Server.

Do I need to pay for SQL Server?

No for learning/PoC: SQL Server Express is free but limited (10 GB databases, no Agent). Production typically requires SQL Server Standard or Enterprise licensing.

Is there support or an SLA?

No. This is an open-source educational project maintained by the author on a best-effort basis. Community issues exist (3 open), but no guaranteed response time or support contract.

Custom software development services

DEV.co is a software development agency delivering custom software development services to companies building on open source. Our software developers and web developers design, integrate, and ship production systems — spanning web development, APIs, AI, data, and cloud. If sql-data-warehouse-project is part of your open-source databases roadmap, our team can implement, customize, migrate, and maintain it.

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