BRQ and RD Saúde modernize data and overhaul analytics with AWS and Docker

The data science team operated in on-premises environments. The machines were powerful, but there were scalability limits and difficulty sharing tools and deliverables between teams.

In addition, model execution was manual and depended on local scheduling, which increased operational effort.

The implementation, led by BRQ, was based on the architecture designed by RD, in collaboration with the infrastructure team, to organize the data science environment and enable the scalability the team needed.

With the migration to AWS, carried out by BRQ in partnership with RD Saúde, and the use of Docker, models began running automatically and centrally. Outputs started being delivered to S3 buckets, making information easier to access and share.