Project Duration: April 2015 – August 2015
Client: Bakhtar Regional Electricity Company (Website)
Associated with: Aris Rayaneh
Project Overview
In 2015, Bakhtar Regional Electricity Company engaged me to analyze, optimize, and enhance the performance of their comprehensive electricity management system’s database. The system relied on a SQL Server database of approximately 1TB, which had significant performance issues due to lack of stored procedures and direct script execution within the application. These inefficiencies resulted in slow query execution, redundant data structures, and system bottlenecks, affecting the company’s ability to process large volumes of data efficiently.
To resolve these challenges, I conducted an in-depth performance analysis and implemented a series of strategic improvements to increase efficiency, optimize query response times, and enhance database scalability.
Key Improvements & Optimizations
Query Performance & Index Optimization
- Analyzed all queries sent from the application to detect slow executions and resource-intensive operations.
- Eliminated redundant and ineffective indexes, replacing them with optimized indexing strategies.
- Designed and implemented new indexes tailored to the most frequently used queries, significantly improving execution speed.
Database Structure & Integrity Enhancement
- Refactored outdated table structures to improve data integrity and consistency.
- Optimized storage allocation and indexing strategies to enhance system responsiveness.
- Implemented a comprehensive index rebuilding strategy to prevent fragmentation and maintain peak performance.
Backup & Disaster Recovery Planning
- Developed a customized backup strategy aligned with the company’s operational needs and data retention policies.
- Designed a recovery plan to ensure minimal downtime and data loss prevention in case of system failures.
System-Wide Database Tuning & Debugging
- Utilized SQL Profiler, Execution Plans, and DMVs to pinpoint inefficiencies and resolve slow-running queries.
- Conducted query rewriting and execution plan analysis to reduce CPU load and optimize data retrieval times.
- Ensured seamless database integration with the application for improved performance and reliability.
Technologies & Tools Used
Database Management: Microsoft SQL Server (1TB Database) Query Analysis: SQL Profiler, Execution Plans, DMVs Indexing & Performance Tuning: Index Tuning Wizard, Query Store, Statistics Updates Backup & Recovery: SQL Server Backup Strategies, Transaction Log Management Development & Debugging: T-SQL, SSMS (SQL Server Management Studio)
Skills & Expertise Applied
Query Optimization & Performance Tuning Indexing & Storage Optimization Database Architecture & Design Backup & Recovery Planning Execution Plan Analysis Troubleshooting & Debugging High-Volume Data Management
Industry & Business Impact
Industry: Electricity & Energy Management, Utility & Infrastructure Systems Objective: Enterprise-Level Database Optimization for Large-Scale Data Processing Outcome: Significantly improved system performance, reduced query execution times, and enhanced database reliability, enabling the company to process high volumes of data efficiently and securely.
Due to confidentiality agreements, I am unable to provide images of the project.