This is part 2 of a two part blog post on our migration to the polyrepo. If you haven’t yet read part 1 and want some more context, you can find it here. In part 1 of this blog post, we discussed how our original polyrepo led to complicated workflows which hindered engineering productivity, why …
Introduction Our team spent years at UC Berkeley actively building open source software to support our published research. The open source software, the MC2 Project, is a platform consisting of various libraries and packages that enable secure collaborative analytics and machine learning. While building the platform we created a repository (repo) for each paper; as …
Summary: In this engineering blog post, we discuss technical details surrounding Opaque Systems’ closed source version of Opaque SQL. This project extends Apache Spark SQL with a physical operator layer that runs inside hardware enclaves to protect confidential data in use. However, this latest iteration contains physical operators that are vectorized and are being performed …
Accelerating Encrypted Analytics on Confidential Data by 20x Read More »
We are excited to announce the initial release of the MC² Project, a collection of open source tools for computing and collaborating on confidential data. Developed at UC Berkeley’s RISELab, MC² (Multi-Party Collaboration and Coopetition) enables rich analytics and machine learning on encrypted data, ensuring that data remains concealed even when it’s being processed. The data in use remains …
