Solving Python dependency issues with a Data Platform

Luminus, a major electricity producer in Belgium, has addressed challenges faced by its data teams by implementing Ona's Enterprise solution, which operates on Amazon Web Services (AWS). Previously, the team dealt with issues related to managing dependencies and processing power, often encountering problems with Amazon SageMaker's platform changes and long startup times. By switching to Ona, Luminus has established stable, reproducible Python development environments that facilitate the onboarding of new team members and streamline data processing tasks. This has resulted in significant cost savings, improved productivity, and enhanced security through fine-grained access control and single sign-on capabilities. The seamless integration with AWS services allows data engineers and scientists to efficiently transition from experimenting in Jupyter Notebooks to building in a proper IDE without additional setup, fostering better development practices. With Ona, Luminus has optimized its data processing workflows and reclaimed time previously spent troubleshooting, allowing the platform team to focus on future advancements like Generative AI.

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