Operational data from many different telecommunication domains needed to be collected and analyzed in real-time. Questions needed to be answered in real-time and operational activities needed to be automated.
Data ingestion was implemented for multiple sources and a medallion (Bronze, Silver Gold) data architecture was implemented in Azure Data Lake. Kafka was used to facilitate message delivery and Databricks Spark jobs were configured to provide advanced streaming analytics and real-time event analysis and automation.
The project resulted in a significant improvement in operational visibility and performance, providing real-time insights and enhancing operational decision-making.