Database Optimization for Financial Services Company

Consultant

Database Administrator

MariaDB

MySQL

Postman

Project Overview

I optimized the database for a Financial Services company experiencing slow website performance and sluggish transfer times. Upon conducting a detailed analysis, I identified that the root cause was a lack of indexing in the database, leading to slow data retrieval and impacting overall system efficiency. By implementing a strategic indexing solution, I significantly improved website speed and API response times, enhancing the user experience and streamlining financial transactions.

Project Details

Challenge: The company's website and API were performing poorly, with slow data retrieval impacting customer experience, particularly during peak times. This also affected the efficiency of financial transfers, leading to delays and client dissatisfaction.

Analysis: I conducted a thorough audit of the database, examining query execution times, data retrieval patterns, and system load during peak usage. The analysis revealed that the database tables were not indexed properly, causing delays in processing even basic queries.

Solution: Implemented a comprehensive indexing strategy for the database:

Created and optimized indexes for frequently accessed tables to speed up data retrieval.

Refined complex queries to take advantage of the new indexes.

Analyzed and optimized table joins to ensure they worked efficiently with the indexes.

Implemented a monitoring tool to track query performance post-optimization.

Outcome:

Improved API response times by 60%, significantly reducing the delay in data transfers.

Enhanced website performance, with page load times reduced by 50%.

Increased database efficiency, allowing the system to handle higher loads during peak times without impacting performance.

Technologies Used

Database: MariaDB

Tools: Query monitoring and optimization tools like

Techniques: Indexing, query optimization, performance monitoring.

Impact

Achieved a substantial increase in API speed, resulting in faster financial transactions and improved customer satisfaction.

Enhanced the stability and performance of the company’s web-based services, leading to a better user experience and reduced bounce rates.

Enabled the company to handle larger transaction volumes without degradation in performance.

Key Takeaways

Proper indexing and database optimization can have a transformative impact on website and API performance, especially for data-intensive financial services.

Regular database performance audits are essential to identify and rectify bottlenecks proactively.