Building the foundation for the 5G revolution: Digital Nasional Berhad
Digital Nasional Berhad (DNB), Malaysia's government-established 5G network operator, used the Databricks Data + AI Platform to build a cost-effective, high-performance data platform to process 5G network data at scale, achieving 82%+ populated-area coverage in two years. Using Delta Lake with a medallion (Bronze/Silver/Gold) architecture, Databricks Workflows for pipeline orchestration, serverless compute, Notebooks for team collaboration, Unity Catalog for governance, and MLflow for ML lifecycle management, DNB achieved 70% cost optimization and a 60-70% increase in data pipeline performance, and has begun building AI-powered chatbots giving network engineers real-time access to performance insights with geospatial visualizations.
Overview
Digital Nasional Berhad (DNB), Malaysia's government-established 5G network operator, used the Databricks Data + AI Platform to build a cost-effective, high-performance data platform to process 5G network data at scale, achieving 82%+ populated-area coverage in two years. Using Delta Lake with a medallion (Bronze/Silver/Gold) architecture, Databricks Workflows for pipeline orchestration, serverless compute, Notebooks for team collaboration, Unity Catalog for governance, and MLflow for ML lifecycle management, DNB achieved 70% cost optimization and a 60-70% increase in data pipeline performance, and has begun building AI-powered chatbots giving network engineers real-time access to performance insights with geospatial visualizations.
The challenge
Digital Nasional Berhad needed to manage vast amounts of real-time 5G network data daily, including determining next actions and analyzing performance metrics, coverage gaps and service quality indicators, while facing significant scalability and cost challenges in building a robust data platform to power Malaysia's 5G network.
The solution
DNB built its data platform on the Databricks Data + AI Platform, using Delta Lake with a medallion (Bronze/Silver/Gold) architecture to organize raw, cleaned and refined data; Databricks Workflows to automate and orchestrate data pipelines with real-time monitoring and alerting; serverless compute to dynamically allocate resources; Databricks Notebooks for cross-team collaboration; Unity Catalog for centralized governance and data lineage; and MLflow to manage the lifecycle of its machine learning models. DNB has begun integrating geospatial analytics and building AI-powered chatbots that give network engineers real-time access to performance insights paired with geospatial visualizations of base station coverage and heatmaps.
Reported business value
DNB achieved 82%+ populated-area coverage within two years of rolling out its 5G network, reduced operational costs by up to 70%, and achieved a 60-70% increase in data pipeline performance speeds after transitioning from traditional orchestration tools to Databricks Workflows.
Sources
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Other telecommunications entries in the register.
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