How DNV GL is modernizing the energy industry with IoT Analytics on Databricks - Seguridad Mania.com - España y América Latina

Real-time sensor data from smart meters across millions of households is driving an energy revolution. DNV GL has been delivering innovative, game-changing analysis of this data using Apache Spark on top of Databricks. Join Jonathan Farland, senior data scientist from DNV GL, to learn how the world-renowned energy company is mining deeper insights for utility companies, distribution system operators, and other clients by leveraging advanced machine learning techniques. This webinar will showcase how Databricks helps DNV GL’s energy division predict energy usage based on prevailing weather conditions by: - Accelerating data processing compared to their legacy system, at times by nearly 100 times faster without incurring additional operational costs. - Scaling to any size on-demand while being able to decouple compute and storage resources to minimize operational expense. - Eliminating the need to spend time on DevOps, allowing their data scientists and engineers to focus on solving data problems.