A U.S.-based data intelligence and analytics company came to Armakuni for aWS Clean Room capability build: privacy-preserving data staging, collaboration schema design, ML enablement, and operational prototype delivery.
The challenge
DecisionLinks approached Armakuni needing a privacy-preserving data collaboration capability that its Redshift-based ecosystem could not support. Armakuni ran a single AWS EBA engagement spanning discovery, architecture, hands-on acceleration, and closeout, delivering a working prototype and the durable assets needed for production scale.
Scale: Redshift-based data ecosystem with external partner collaboration requirements and ML/embedding workload needs.
What we built
Armakuni delivered aWS Clean Room capability build: privacy-preserving data staging, collaboration schema design, ML enablement, and operational prototype delivery. The engagement ran as aWS Experience-Based Acceleration (EBA) for Data Migration. AWS funded the work at $50,000.
The outcomes
6 measurable outcomes shipped across the engagement. The ones that moved the business the most:
Operational Clean Room prototype delivered end-to-end covering data ingress from Redshift. through Glue to S3 and Athena, collaboration schema configuration, compute patterns, and at least one live analytic or ML flow validated against real test cases.
Reusable IaC components and Glue ETL templates produced so every future dataset or partner onboarding starts from a tested, governed baseline rather than an empty repository.. The engineering cost of the next collaboration is a fraction of what it would have been without this engagement.
Security and Governance Blueprint finalized with IAM controls, KMS encryption, PII masking and hashing patterns, and a logging and auditing approach. designed and tested before any production data was touched. Compliance is built into the platform, not applied retrospectively.
ML enablement patterns established for both precomputed and in-Clean-Room execution giving DecisionLinks a supported path to offer partners deeper. analytical capability within privacy-preserving boundaries.
Internal capability transferred through hands-on participation throughout the Migration Party.. DecisionLinks engineers worked alongside Armakuni throughout delivery and left the engagement able to operate, extend, and onboard new workloads without external dependency.
Production scale roadmap delivered identifying the prioritized steps to move from a validated prototype to a live, multi-partner Clean Room capability operating on production data..
Built on AWS
The production environment runs on 8 first-party AWS services. Delivered under our AWS Migration and Modernization, Data and Analytics competencies.
What's next
Production-scale rollout of the Clean Room capability to live datasets and additional external partners, following the prioritized roadmap delivered at closeout.