Operators of telecommunications are sitting on a gold mine. They produce enormous amounts of data each day, up to billions of CDRs and events. These data could be user, network, or customer-related. For the telecommunications operators, effectively gathering, storing, processing, and analyzing this amount of data can be very difficult. The infrastructure must have ample storage space and computational power. Additionally, it needs adaptability to assess various data formats. Therefore, it is crucial to create the best architecture possible in order to overcome these technical difficulties and satisfy commercial needs. In this paper, we have used the seven layers of implementation described in the previous work and implemented a potential use case- churn analysis of telecom customers. We have also analyzed various other use cases along with case studies and have proved how our open source data pipeline architecture would help the telecommunication sectorsto implement and analyze those use cases.

Keywords : Implementation of Open Source Data Pipeline for BDA, Customer Churn Analysis, Churn Analysis Code, Big Data Analytics, Telecom Use Cases for BDA, Open Source, Lambda Architecture, Big Data Architecture Layers, Telecommunication, Telecom BDA Use Cases.