BIG DATA ENGINEERING FOR TELECOMMUNICATIONS: NETWORK OPTIMIZATION AND CUSTOMER EXPERIENCE
Keywords:
Big Data Engineering, Customer Analytics, Network Optimization, Real-time Processing, Telecommunications InfrastructureAbstract
This comprehensive article analysis explores the transformative role of Big Data Engineering in the telecommunications industry, focusing on network optimization and customer experience enhancement. The article examines how modern telecom providers leverage advanced data processing architectures, artificial intelligence, and machine learning to manage complex network operations, customer relationships, and revenue streams. The article shows the evolution from basic call detail records to sophisticated real-time analytics systems, highlighting the integration of predictive maintenance, fraud detection, and dynamic pricing mechanisms. The article delves into the technical architecture requirements for handling massive data volumes while ensuring security and regulatory compliance. Additionally, it explores the implementation of customer analytics for personalized service delivery and churn prevention. The article extends to future trends, including the convergence of 5G networks with edge computing and DevOps practices for enhanced operational efficiency. This article provides insights into how telecommunications companies adapt to increasing data complexity while maintaining service quality and customer satisfaction in an increasingly competitive market landscape.
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