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DacFx, SqlPackage, and other SQL development libraries enable declarative database development and database portability across SQL versions and environments. Share feedback here on dacpacs, bacpacs, and SQL projects.

Simple database creator from sqlproj under .NET Core and Docker environment

SQL Data Warehouse Deployment Automation using SDK-style database projects, VS database projects and sqlpackage

Exclusive repository for Oracle SQL projects and activities.

Here are some SQL coding solution that will help for preparation and also helpful for beginners.

SQL-based project analyzing employee data to explore department demographics, salary distributions, performance evaluations, leave records, and employee-manager relationships for comprehensive organizational insights

PythonMiniProjects

Retail sales data analysis using PostgreSQL to generate key KPIs such as revenue, customer insights, product performance, and monthly trends.

This project involves analyzing Amazon sales data to gain insights into revenue trends, customer behavior, and product performance. Using SQL, Python, and Power BI, I developed an interactive dashboard that helps visualize key sales metrics and optimize business strategies.

A repo SQL projects repository focused on database operations, data cleaning, modeling, and transformation using XAMPP Server. Consider adding a detailed README description to clarify the repository's purpose, structure, and how to use the SQL projects within it.

Data cleaning (and normalization) with SQL (Postgres).

A clean, beginner-friendly SQL project that demonstrates real-world database design, data modeling, and analytical querying. This project simulates a small corporate employee database with hierarchical reporting, departmental structures, and key HR analytics such as salary insights, workforce distribution, and performance-based updates.

SQL & Power BI project analyzing Superstore e-commerce data for sales, profit & performance insights across categories, regions, and customer segments.

🚀 SQL projects showcasing database design, query optimization, and applied data solutions. This repository highlights practical techniques for building efficient, scalable, and insightful databases, with a focus on structured queries, relational modeling, and advanced data manipulation.