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πŸ—οΈ Practical SQL Server & T-SQL Portfolio: Comprehensive database schemas, complex queries, stored procedures, and data modeling best practices

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πŸ—„οΈ SQL Server & T-SQL Development Portfolio

πŸš€ Overview

Welcome to my Database Development repository! This project is a comprehensive collection of my work in SQL and T-SQL. It demonstrates a strong foundation in database design, advanced querying, and server-side programmability using Microsoft SQL Server.


πŸ“‚ Repository Structure

The repository is divided into two main modules to showcase different levels of database expertise:

Focuses on the fundamentals of data retrieval and analysis.

  • DML & DDL: Designing tables and managing data efficiently.
  • Joins & Subqueries: Connecting complex relational data models.
  • Aggregations: Generating business reports using grouping and summary functions.
  • Views: Creating data abstractions for cleaner access.

Focuses on database programming, automation, and security.

  • Programmability: Stored Procedures, Scalar/Table Functions, and Triggers.
  • Control Flow: Implementation of IF...ELSE, Loops, and Error Handling.
  • Data Integrity: Transaction management (COMMIT, ROLLBACK) and ACID properties.
  • Security: Dynamic SQL implementation and SQL Injection prevention.
  • Modern Techniques: CTEs (Common Table Expressions) and Window Functions.

πŸ› οΈ Technical Stack

  • Database Engine: Microsoft SQL Server (T-SQL)
  • Tooling: SQL Server Management Studio (SSMS)
  • Concepts: Database Normalization, Performance Optimization, and Security Best Practices.

πŸ“ˆ Learning Journey

Each folder contains scripts that I developed while mastering SQL Server. The goal was to build a deep understanding of how to handle data at scale and ensure that the backend logic is robust, secure, and high-performing.


πŸ’‘ How to Explore

Feel free to navigate through the folders above to see specific implementations and detailed README files for each module.

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πŸ—οΈ Practical SQL Server & T-SQL Portfolio: Comprehensive database schemas, complex queries, stored procedures, and data modeling best practices

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