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SQL Server Database Optimization for Asset & Warehouse Management System

📅 Project Duration: 1-3 months (2015)
🏢 Company: Aris Rayaneh Arak Company
🎯 Role: Database Performance Optimization Specialist

Project Overview

In 2015, I was entrusted with optimizing the SQL Server database for the Asset and Warehouse Management System at Aris Rayaneh Arak Company. The system faced serious performance bottlenecks, impacting query execution speed, data retrieval efficiency, and overall user experience. My objective was to analyze, refine, and enhance the database architecture, achieving an impressive 90% improvement in database efficiency without modifying the application code.

The project required in-depth performance tuning on a complex database structure, consisting of:
80+ tables – Reviewing and restructuring data models for better normalization and storage efficiency.
70+ views – Optimizing critical views to reduce query complexity and improve execution speed.
100+ stored procedures – Rewriting and optimizing T-SQL procedures for maximum efficiency.


Key Improvements & Optimizations

Query Optimization & Performance Tuning

      • Conducted detailed query analysis, identifying slow-performing queries and optimizing their execution.
      • Rewrote inefficient stored procedures, enhancing data processing speed.
      • Implemented dynamic indexing strategies, ensuring better query performance across all operations.

Indexing & Structural Enhancements

      • Removed outdated and redundant indexes that negatively impacted system performance.
      • Designed and implemented new indexes, tailored to high-frequency queries for faster data retrieval.
      • Applied index fragmentation management techniques, ensuring consistent and stable performance.

Database Architecture & Storage Optimization

      • Refactored database schema to ensure optimal data integrity and normalization.
      • Enhanced table structures to reduce data redundancy and improve read/write efficiency.
      • Optimized view definitions, reducing computation overhead and improving load times.

Non-Disruptive Implementation

      • All optimizations were applied exclusively to the SQL Server database, ensuring that no changes were required in the associated application code.
      • Successfully enhanced performance without disrupting business operations, providing a seamless transition to an optimized system.

Technologies & Tools Used

🔹 Database Management: Microsoft SQL Server
🔹 Query Analysis: SQL Profiler, Execution Plans, DMVs
🔹 Indexing & Optimization: Query Store, Statistics Updates, Index Tuning Wizard
🔹 Development & Debugging: T-SQL, SSMS (SQL Server Management Studio)


Skills & Expertise Applied

SQL Server Performance Tuning & Query Optimization
Indexing Strategies & Execution Plan Analysis
Database Schema Refinement & Normalization
High-Volume Data Management & Storage Optimization
T-SQL Programming & Stored Procedure Optimization
Non-Disruptive Database Optimization (Zero-Code Change Approach)


Industry & Business Impact

🔸 Industry: Logistics, Asset Management, Inventory Control, Business Consulting
🔸 Objective: Enhance database performance without modifying application code.
🔸 Outcome: Achieved up to 90% improvement in database efficiency, enabling faster data retrieval, reduced system load, and enhanced user experience.

🚀 This project demonstrated the power of strategic SQL Server optimization—boosting performance without altering application logic. If your system is struggling with slow queries and database inefficiencies, I can help you achieve similar results!

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