DNV GL is focused on leveraging machine learning techniques to answer the most challenging energy questions for the top energy and utility companies in the world. But with the spread of sensors across the grid, DNV GL needed a better way to analyze complex data sets in a timely fashion.
With Databricks, they were able to easily scale to meet their growing data volume needs without requiring DevOps and was able to leverage the Databricks platform to build and test machine learning models to address the challenges of their clients.
- Able to set up Databricks and start provisioning clusters within minutes, compared to their legacy system which took several hours.
- Sped up data processing by nearly 100 times faster without incurring additional operational costs compared to their legacy system.
- Eliminated the need to spend time on DevOps, allowing their data scientists and engineers to focus on solving data problems.