The current global health situation
(primarily due to Covid-19) has encouraged a change in
customer behavior toward the use of
telecommunications services, which has increased data
traffic. Telecommunications operators now have a
golden opportunity to use Big Data Analytics (BDA)
solutions to develop new sources of revenue. We
encountered a number of difficulties when trying to set
up a BDA project, particularly when it came to selecting
the technical solution from the vast array of available
tools and the governance methods for managing the
project and the data. Most study papers on the
telecommunications sector have not covered BDA
project implementation from beginning to end. This
paper's focus is on BDA telecommunications, the value
of open-source data pipelines, architecture,
implementation methodologies, and architectural levels.
The study's last section offers practical BDA use cases
for applications that support cost reduction and revenue
generation. It appears that this effort will make it
easier to implement BDA initiatives and give telecoms
operators a better understanding of the crucial factors
that need to be prioritized. This research that will help
achieve this objective.
Keywords :
Big Data Analytics, Open Source, Data Pipeline architecture, Implementation of open source Data Pipeline for BDA, Apache Kafka, Big Data Architecture Layers, Apache Kafka, Spark, Telecommunication, Telecom BDA Use Cases, Kubernetes for Telco data analytics