Data Lake / Data Warehouse Modernization · Real-time Analytics
UK Power Networks had real-time grid data spread across multiple on-premises servers and siloed teams, making access control, collaboration and timely business insight too difficult for cost-effective network operations and net-zero innovation.
Reported impact
UK Power Networks created an estimated £45.7 million of value over three years, reduced downtime by about £1 million annually, improved network-planning productivity and made real-time outage and voltage data broadly usable for smarter, lower-cost grid operations.
UK Power Networks migrated critical datasets from a fragmented on-premises warehouse estate to the Databricks Data + AI Platform so real-time grid operations and predictive planning could run from a single environment. Smart meter alerts for power outages and voltage changes are provisioned in Databricks and shared across internal teams, while a Network Load Forecasting and Estimation machine-learning model uses the same platform for collaborative development between data engineers, analysts and data scientists. Unity Catalog simplifies fine-grained access management and promotes clearer data ownership as volumes grow, and Delta Sharing replaces ad hoc emailed extracts and one-off file shares with governed distribution across teams and external collaborators. By putting ingestion, analysis and model building in one workspace, UK Power Networks gains the visibility needed to understand constraints and faults quickly while supporting lower-cost network expansion and net-zero innovation.
Real-time smart-meter alerts for outages and voltage changes are ingested into Databricks and shared across teams using the same workspace where network-load models are developed. Unity Catalog governs access to the core datasets, and Delta Sharing distributes curated outputs to internal users and external collaborators without ad hoc file transfers.
Databricks played a key role in the provisioning of real-time smart meter alerts for power outages and voltage changes.
The data team leverages Delta Sharing to streamline data sharing across the organization, avoiding the silos that happen naturally with emailing or setting up one-off file shares.
UK Power Networks has rolled out a Network Load Forecasting and Estimation machine learning model.
Using Databricks Unity Catalog to refine and simplify fine-grained access management, UK Power Networks is simplifying navigation of their data landscape.
We've modernized our processes with Databricks. We've improved the accessibility of quality data, simplified governance and promoted data ownership.
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