ETL Process Design: Optimized database integration & processing
Project Overview
This project was focused on designing and implementing an efficient ETL process to address synchronization issues between OLTP and OLAP databases. The primary goal was to improve data consistency and facilitate early fraud detection through comprehensive database scans.
Problem Statement
The system struggled with over a days delay in syncing OLTP and OLAP databases, risking efficiency and fraud detection. A robust ETL process was essential for efficient scanning and timely fraud flagging.
Key Findings
- Synchronization Challenges: The existing system struggled with significant data synchronization delays, affecting timely decision-making.
- Fraud Prevention: A key objective was to enhance fraud detection capabilities by ensuring real-time data synchronization and processing.
- ETL Optimization: Optimizing the ETL process was crucial for enabling fast, accurate data processing and reporting.
Implemented Solution
To address the synchronization issues and fraud detection challenges, the following solutions were implemented:
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ETL Process Design:
Developed a comprehensive ETL framework to handle large-scale database integration and processing efficiently, ensuring data was accurately extracted, transformed, and loaded into the target systems.
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Synchronization Solution:
Implemented a solution to significantly reduce the data lag between OLTP and OLAP databases, improving real-time data accuracy and minimizing delays.
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Benchmarking:
Established best practices for ETL processes, setting new standards for performance and reliability in data handling.
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Fraud Detection Reporting:
Developed a reporting mechanism to scan databases for potential fraud, enabling the system to flag fraudulent activities, such as suspicious credit card transactions.
Results
The project successfully reduced data synchronization lag to near real-time, ensuring that data accuracy for analysis was significantly improved. The new ETL processes established high standards for future data integration projects, enhancing overall system efficiency. Additionally, the fraud detection mechanism flagged approximately 65,432 credit card transactions, while the ETL and reporting speeds improved by 76%, even with comprehensive database scans.