Scalable Etl Pipelines for Telecom Billing Systems: A Comparative Study

This paper aims at comparing the following scalable ETL processes that are used in telecom billing systems. Telecom environment requires the use of ETL pipelines to process huge amounts of data for billing and other data related functions. This analysis covers various types of ETL solutions such as batch, streaming and cloud based ETL techniques. There are several parameters which have been considered while analyzing the issue including scalability, performance, cost and precision. The results indicate that streaming ETL pipelines come as more efficient in real-time data processing, in contrast to batch-based pipelines for large historical data. While on the cloud, the solutions can accommodate the growing number of users and new technologies, but at a cost. This paper concludes that there is merit in the adoption of different ETL techniques in that it enables telecom organizations to achieve the best results in billing. The future trend involves the use of artificial intelligence in ETL, enhanced security aspects, comparison between serverless, and hybrid cloud ETL solutions.