DNV GL Uses Databricks to Process Massive Volumes of Sensor Data to Build Tomorrow’s Energy …

Company Acquires Machine Learning, Overcomes Scalability and Operational Challenges With Enterprise Spark Platform SAN FRANCISCO, CA–(Marketwired – Apr 7, 2016) – Databricks, the company behind Apache Spark, today announced that DNV GL, a provider of classification and technical assurance along with software and independent expert advisory services to the maritime, oil & gas and energy industries, has selected Databricks for large-scale energy data analytics. With Databricks, DNV GL utilizes innovative machine learning techniques to quantify the relationship between smart meter and weather pattern data. Through predictive models, it is able to accurately predict energy demand based on massive amounts of historical weather data, a process sometimes referred to simply as “weather normalization.” This new analytics capability enables millions of households to quantify their energy savings. DNV GL delivers testing and…


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