- Distributed Brix product is big data processing and storage platform that manages structured engineering high volume binary data. Distributed Brix performs analysis and storage using multiple CPU (systems) called cluster. Within cluster one Master which act as controller and rest are workers perform job execution and storage. It stores data on NAS (Network attached storage) or Local disk of worker as per the configuration. Import process import Test data on worker and store metadata on Master for future reference.
- Distributed Brix is cost-effective and high-performance designed for engineering data, and supports MATLAB, Python & JAVA language for analysis processing. DBrix is designed to be used in for big data, statistical analysis, AI & ML applications. This document contains an introduction and features information on Distributed BRIX
Big Benefits of Product Validation Management Approach for Various Stakeholders
The data stream involves hundreds or thousands of contributing elements from a product launch testing perspective. Manual compilation of this data is a Herculean task that results in overheads and ultimately reduces the time for core, productive jobs. When a PVM approach is followed, the otherwise arduous tasks are taken care of, allowing engineers to invest time in handling more critical responsibilities pertaining to product design validation.
