A Comparative Analysis of ETL Techniques in Telecom and Financial Data Migration Projects: Advancing Best Practices
Abstract
In data migration projects, the extraction, transformation, and loading (ETL) process plays a pivotal role in ensuring the seamless transfer of data between systems. This comparative analysis explores the application of ETL techniques in telecommunications (telecom) and financial sectors, both of which face unique data management challenges due to the volume, complexity, and sensitivity of their data. While telecom data migration projects often deal with large volumes of operational data and customer information, financial data migration projects focus on ensuring data integrity, security, and regulatory compliance. The paper aims to identify best practices that can be adopted from both sectors to optimize ETL processes and improve overall data migration success. This analysis begins by reviewing the distinct data characteristics and challenges faced by telecom and financial industries. Telecom data migrations often involve handling diverse data types such as network logs, customer records, and service usage details, requiring techniques that emphasize speed and scalability. In contrast, financial data migrations must prioritize data accuracy, compliance with regulations (e.g., GDPR, PCI-DSS), and minimal disruption to services, necessitating ETL methods that emphasize security and transformation consistency. The paper compares key ETL strategies employed in these sectors, such as batch processing, real-time data streaming, and data validation techniques. It highlights the strengths and weaknesses of each approach in the context of telecom and financial data migrations, identifying how each sector's unique requirements shape the ETL process. Best practices such as data mapping, automated testing, and the use of cloud-based ETL tools are discussed, along with their effectiveness in addressing the specific needs of telecom and financial data migrations. The findings from this comparative analysis provide valuable insights into how organizations can advance their ETL processes by adopting the best practices from both industries. Ultimately, this research contributes to the development of optimized ETL techniques that improve the efficiency, security, and reliability of data migration projects across telecom and financial sectors.
Keywords
ETL Techniques, Data Migration, Telecommunications, Financial Sector, Data Integrity, Security, Best Practices, Cloud-Based Tools, Real-Time Data, Data Transformation
Citations
IRE Journals:
Oladimeji Hamza , Anuoluwapo Collins , Adeoluwa Eweje
"A Comparative Analysis of ETL Techniques in Telecom and Financial Data Migration Projects: Advancing Best Practices" Iconic Research And Engineering Journals Volume 6 Issue 1 2022 Page 737-757
IEEE:
Oladimeji Hamza , Anuoluwapo Collins , Adeoluwa Eweje
"A Comparative Analysis of ETL Techniques in Telecom and Financial Data Migration Projects: Advancing Best Practices" Iconic Research And Engineering Journals, 6(1)
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