Case Study: E.ON cuts query times from days to minutes with Dremio

E.ON cuts query time by 95% with Dremio

E.ON, a major European energy company, faced significant data infrastructure challenges within its Nordic division. Their traditional systems caused complex queries to take up to a week to complete, severely hampered ad-hoc analysis, and provided data updates only once a day. These bottlenecks created a divide between IT and business units, slowing down their ability to gain timely insights. To address this, they turned to the vendor Dremio and its Unified Lakehouse Platform.

By implementing Dremio on Azure, E.ON achieved transformative results. The solution integrated with dbt for data transformations and utilized Dremio features like Reflections for acceleration. This led to a 95% reduction in time-to-insight, with queries completing in minutes instead of days. Data freshness improved to updates every 15 minutes, and the platform enabled self-service analytics, breaking down silos and fostering a data-driven culture.

E.ON