Mercedes Benz R&D – The Best or Nothing Data Platform
The Data Platform team at Mercedes-Benz Research & Development is in the critical path of the company’s road to building the world’s best EV and autonomous vehicles. The MBOS Data Platform team will present how Dremio became instrumental to this effort, as part of a “one-click deployment” approach that allows internal teams to leverage infrastructure-as-code pipelines with best practices and policy enforcements in place to create optimized ingestion, data lake persistence, query optimization, data analytics, BI, and visualization capabilities. All of that done in a way that securely democratizes data access across multiple teams and sources, in a unified platform with multi-cloud capabilities.
Speakers
Tyler Axdorff
Rodrigo Nunes
Rodrigo Nunes is a Principal Software Engineer at Mercedes-Benz R&D focusing on infotainment containerized applications, data platform infrastructure, streaming and super-fast autobahn driving. He holds a MsC in neural networks and image processing from UFRGS, Brazil. Prior to Mercedes-Benz, Rodrigo was a senior software engineer at Realself and worked for the CS Technology team at Amazon, where he started developing his passion for data, search, and analytics. He also teaches a data analytics class at the University of Washington PCE program and is the local organizer of the Elasticsearch Meetup group in Seattle.
