Project Duration: February 2015
Company: Aris Rayaneh Arak
Role: Database Optimization Specialist
Project Overview
This project focused on enhancing the performance of the database powering the Inventory and Asset Management System of Aris Rayaneh Company. Due to inefficient queries, redundant indexes, and unoptimized database structures, the system was experiencing slow performance and resource bottlenecks.
Through an extensive database performance tuning process, I successfully optimized query execution, indexing, and data structure efficiency, achieving up to a 90% increase in overall system performance.
Key Improvements & Optimizations
Query Optimization & Performance Tuning – Rewrote inefficient stored procedures and queries to minimize execution time. Indexing Enhancements – Removed redundant indexes and implemented new indexing strategies for faster data retrieval. Execution Plan Optimization – Analyzed and optimized query execution plans to eliminate bottlenecks and deadlocks. Database Schema Refinement – Improved table structures, relationships, and normalization to reduce redundancy. Backup & Disaster Recovery Planning – Designed a robust backup and recovery strategy to ensure data security and integrity.
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 Processing & Storage Optimization T-SQL Programming & Stored Procedure Optimization Backup & Disaster Recovery Planning
Business Impact
Industry: Inventory Management, Enterprise Asset Management Objective: Improve database performance and system responsiveness. Outcome: Achieved up to 90% improvement in database efficiency, leading to faster processing, reduced downtime, and enhanced system performance.
This project significantly enhanced the database performance, ensuring a scalable and high-performing system for inventory and asset management.